Every model. One catalog. Routed for cost and performance.
xFlo keeps you out of vendor lock-in. Browse hundreds of models from leading providers, compare pricing and capabilities, and let the platform route every execution through the right model. Cost-optimised by default. Performance-tuned per skill. Switchable at the cascade level when a better model ships.
Anthropic: Claude Fable 5
anthropicClaude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
- Input
- $13.00/1M
- Output
- $65.00/1M
- Context
- 1000K
Anthropic: Claude Opus 4.8 (Fast)
anthropicFast-mode variant of [Opus 4.8](/anthropic/claude-opus-4.8) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
- Input
- $13.00/1M
- Output
- $65.00/1M
- Context
- 1000K
Anthropic: Claude Opus 4.8
anthropicClaude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
- Input
- $6.50/1M
- Output
- $32.50/1M
- Context
- 1000K
Anthropic: Claude Opus 4.7 (Fast)
anthropicFast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
- Input
- $39.00/1M
- Output
- $195.00/1M
- Context
- 1000K
Anthropic: Claude Opus 4.7
anthropicOpus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
- Input
- $6.50/1M
- Output
- $32.50/1M
- Context
- 1000K
Anthropic: Claude Opus 4.6 (Fast)
anthropicFast-mode variant of [Opus 4.6](/anthropic/claude-opus-4.6) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
- Input
- $39.00/1M
- Output
- $195.00/1M
- Context
- 1000K
Anthropic: Claude Sonnet 4.6
anthropicSonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 1000K
Anthropic: Claude Opus 4.6
anthropicOpus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
- Input
- $6.50/1M
- Output
- $32.50/1M
- Context
- 1000K
Anthropic: Claude Sonnet 4.5
anthropicClaude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 1000K
Anthropic: Claude Sonnet 4
anthropicClaude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 1000K
Anthropic: Claude Opus 4.5
anthropicClaude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
- Input
- $6.50/1M
- Output
- $32.50/1M
- Context
- 200K
Anthropic: Claude Haiku 4.5
anthropicClaude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- Input
- $1.30/1M
- Output
- $6.50/1M
- Context
- 200K
Anthropic: Claude Opus 4.1
anthropicClaude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
- Input
- $19.50/1M
- Output
- $97.50/1M
- Context
- 200K
Anthropic: Claude Opus 4
anthropicClaude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
- Input
- $19.50/1M
- Output
- $97.50/1M
- Context
- 200K
Anthropic: Claude 3.5 Haiku
anthropicClaude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic...
- Input
- $1.04/1M
- Output
- $5.20/1M
- Context
- 200K
Anthropic: Claude 3 Haiku
anthropicClaude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal
- Input
- $0.325/1M
- Output
- $1.63/1M
- Context
- 200K
OpenAI: GPT-5.5 Pro
openaiGPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
- Input
- $39.00/1M
- Output
- $234.00/1M
- Context
- 1050K
OpenAI: GPT-5.5
openaiGPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
- Input
- $6.50/1M
- Output
- $39.00/1M
- Context
- 1050K
OpenAI: GPT-5.4 Pro
openaiGPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...
- Input
- $39.00/1M
- Output
- $234.00/1M
- Context
- 1050K
OpenAI: GPT-5.4
openaiGPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
- Input
- $3.25/1M
- Output
- $19.50/1M
- Context
- 1050K
OpenAI: GPT-4.1
openaiGPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 1048K
OpenAI: GPT-4.1 Mini
openaiGPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
- Input
- $0.520/1M
- Output
- $2.08/1M
- Context
- 1048K
OpenAI: GPT-4.1 Nano
openaiFor tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
- Input
- $0.130/1M
- Output
- $0.520/1M
- Context
- 1048K
OpenAI: GPT Chat Latest
openaiGPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...
- Input
- $6.50/1M
- Output
- $39.00/1M
- Context
- 400K
OpenAI: GPT-5.4 Nano
openaiGPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
- Input
- $0.260/1M
- Output
- $1.63/1M
- Context
- 400K
OpenAI: GPT-5.4 Mini
openaiGPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
- Input
- $0.975/1M
- Output
- $5.85/1M
- Context
- 400K
OpenAI: GPT-5.3-Codex
openaiGPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...
- Input
- $2.27/1M
- Output
- $18.20/1M
- Context
- 400K
OpenAI: GPT-5.2-Codex
openaiGPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
- Input
- $2.27/1M
- Output
- $18.20/1M
- Context
- 400K
OpenAI: GPT-5.2 Pro
openaiGPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
- Input
- $27.30/1M
- Output
- $218.40/1M
- Context
- 400K
OpenAI: GPT-5.2
openaiGPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
- Input
- $2.27/1M
- Output
- $18.20/1M
- Context
- 400K
OpenAI: GPT-5.1-Codex-Max
openaiGPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5.1
openaiGPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5.1-Codex
openaiGPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5.1-Codex-Mini
openaiGPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
- Input
- $0.325/1M
- Output
- $2.60/1M
- Context
- 400K
OpenAI: GPT-5 Image Mini
openaiGPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...
- Input
- $3.25/1M
- Output
- $2.60/1M
- Context
- 400K
OpenAI: GPT-5 Image
openai[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
- Input
- $13.00/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5 Pro
openaiGPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
- Input
- $19.50/1M
- Output
- $156.00/1M
- Context
- 400K
OpenAI: GPT-5 Codex
openaiGPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5
openaiGPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 400K
OpenAI: GPT-5 Mini
openaiGPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
- Input
- $0.325/1M
- Output
- $2.60/1M
- Context
- 400K
OpenAI: GPT-5 Nano
openaiGPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
- Input
- $0.065/1M
- Output
- $0.520/1M
- Context
- 400K
OpenAI: GPT-5.4 Image 2
openai[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...
- Input
- $10.40/1M
- Output
- $19.50/1M
- Context
- 272K
OpenAI: o3 Deep Research
openaio3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
- Input
- $13.00/1M
- Output
- $52.00/1M
- Context
- 200K
OpenAI: o4 Mini Deep Research
openaio4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 200K
OpenAI: o3 Pro
openaiThe o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
- Input
- $26.00/1M
- Output
- $104.00/1M
- Context
- 200K
OpenAI: o4 Mini High
openaiOpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
- Input
- $1.43/1M
- Output
- $5.72/1M
- Context
- 200K
OpenAI: o3
openaio3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 200K
OpenAI: o4 Mini
openaiOpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
- Input
- $1.43/1M
- Output
- $5.72/1M
- Context
- 200K
OpenAI: o1-pro
openaiThe o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
- Input
- $195.00/1M
- Output
- $780.00/1M
- Context
- 200K
OpenAI: o3 Mini High
openaiOpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
- Input
- $1.43/1M
- Output
- $5.72/1M
- Context
- 200K
OpenAI: o3 Mini
openaiOpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
- Input
- $1.43/1M
- Output
- $5.72/1M
- Context
- 200K
OpenAI: o1
openaiThe latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
- Input
- $19.50/1M
- Output
- $78.00/1M
- Context
- 200K
OpenAI: gpt-oss-safeguard-20b
openaigpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
- Input
- $0.098/1M
- Output
- $0.390/1M
- Context
- 131K
OpenAI: gpt-oss-120b (free)
openaigpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
- Input
- Free
- Output
- Free
- Context
- 131K
OpenAI: gpt-oss-120b
openaigpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
- Input
- $0.051/1M
- Output
- $0.234/1M
- Context
- 131K
OpenAI: gpt-oss-20b (free)
openaigpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
- Input
- Free
- Output
- Free
- Context
- 131K
OpenAI: gpt-oss-20b
openaigpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
- Input
- $0.038/1M
- Output
- $0.182/1M
- Context
- 131K
OpenAI: GPT-5.3 Chat
openaiGPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...
- Input
- $2.27/1M
- Output
- $18.20/1M
- Context
- 128K
OpenAI: GPT Audio
openaiThe gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT Audio Mini
openaiA cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
- Input
- $0.780/1M
- Output
- $3.12/1M
- Context
- 128K
OpenAI: GPT-5.2 Chat
openaiGPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
- Input
- $2.27/1M
- Output
- $18.20/1M
- Context
- 128K
OpenAI: GPT-5.1 Chat
openaiGPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-5 Chat
openaiGPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-4o-mini Search Preview
openaiGPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 128K
OpenAI: GPT-4o Search Preview
openaiGPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-4o (2024-11-20)
openaiThe 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-4o (2024-08-06)
openaiThe 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-4o-mini (2024-07-18)
openaiGPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 128K
OpenAI: GPT-4o-mini
openaiGPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 128K
OpenAI: GPT-4o (2024-05-13)
openaiGPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
- Input
- $6.50/1M
- Output
- $19.50/1M
- Context
- 128K
OpenAI: GPT-4o
openaiGPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
OpenAI: GPT-4 Turbo
openaiThe latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
- Input
- $13.00/1M
- Output
- $39.00/1M
- Context
- 128K
OpenAI: GPT-4 Turbo Preview
openaiThe preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...
- Input
- $13.00/1M
- Output
- $39.00/1M
- Context
- 128K
OpenAI: GPT-3.5 Turbo 16k
openaiThis model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
- Input
- $3.90/1M
- Output
- $5.20/1M
- Context
- 16K
OpenAI: GPT-3.5 Turbo
openaiGPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
- Input
- $0.650/1M
- Output
- $1.95/1M
- Context
- 16K
OpenAI: GPT-4
openaiOpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
- Input
- $39.00/1M
- Output
- $78.00/1M
- Context
- 8K
OpenAI: GPT-3.5 Turbo (older v0613)
openaiGPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
- Input
- $1.30/1M
- Output
- $2.60/1M
- Context
- 4K
OpenAI: GPT-3.5 Turbo Instruct
openaiThis model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
- Input
- $1.95/1M
- Output
- $2.60/1M
- Context
- 4K
Google: Gemini 3.1 Pro Preview Custom Tools
googleGemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...
- Input
- $2.60/1M
- Output
- $15.60/1M
- Context
- 1049K
Google: Gemini 3.5 Flash
googleGemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
- Input
- $1.95/1M
- Output
- $11.70/1M
- Context
- 1049K
Google: Gemini 3.1 Flash Lite
googleGemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
- Input
- $0.325/1M
- Output
- $1.95/1M
- Context
- 1049K
Google: Lyria 3 Pro Preview
googleFull-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz...
- Input
- Free
- Output
- Free
- Context
- 1049K
Google: Lyria 3 Clip Preview
google30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...
- Input
- Free
- Output
- Free
- Context
- 1049K
Google: Gemini 3.1 Flash Lite Preview
googleGemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...
- Input
- $0.325/1M
- Output
- $1.95/1M
- Context
- 1049K
Google: Gemini 3.1 Pro Preview
googleGemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
- Input
- $2.60/1M
- Output
- $15.60/1M
- Context
- 1049K
Google: Gemini 3 Flash Preview
googleGemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
- Input
- $0.650/1M
- Output
- $3.90/1M
- Context
- 1049K
Google: Gemini 2.5 Flash Lite Preview 09-2025
googleGemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
- Input
- $0.130/1M
- Output
- $0.520/1M
- Context
- 1049K
Google: Gemini 2.5 Flash Lite
googleGemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
- Input
- $0.130/1M
- Output
- $0.520/1M
- Context
- 1049K
Google: Gemini 2.5 Flash
googleGemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
- Input
- $0.390/1M
- Output
- $3.25/1M
- Context
- 1049K
Google: Gemini 2.5 Pro
googleGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 1049K
Google: Gemini 2.5 Pro Preview 06-05
googleGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 1049K
Google: Gemini 2.5 Pro Preview 05-06
googleGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
- Input
- $1.63/1M
- Output
- $13.00/1M
- Context
- 1049K
Google: Gemma 4 26B A4B (free)
googleGemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
- Input
- Free
- Output
- Free
- Context
- 262K
Google: Gemma 4 26B A4B
googleGemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
- Input
- $0.078/1M
- Output
- $0.429/1M
- Context
- 262K
Google: Gemma 4 31B (free)
googleGemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
- Input
- Free
- Output
- Free
- Context
- 262K
Google: Gemma 4 31B
googleGemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
- Input
- $0.156/1M
- Output
- $0.455/1M
- Context
- 262K
Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)
googleGemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...
- Input
- $0.650/1M
- Output
- $3.90/1M
- Context
- 131K
Google: Gemma 3 4B
googleGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
- Input
- $0.065/1M
- Output
- $0.130/1M
- Context
- 131K
Google: Gemma 3 12B
googleGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
- Input
- $0.065/1M
- Output
- $0.195/1M
- Context
- 131K
Google: Gemma 3 27B
googleGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
- Input
- $0.104/1M
- Output
- $0.208/1M
- Context
- 131K
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
googleNano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
- Input
- $2.60/1M
- Output
- $15.60/1M
- Context
- 66K
Google: Nano Banana (Gemini 2.5 Flash Image)
googleGemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...
- Input
- $0.390/1M
- Output
- $3.25/1M
- Context
- 33K
Google: Gemma 3n 4B
googleGemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...
- Input
- $0.078/1M
- Output
- $0.156/1M
- Context
- 33K
Google: Gemma 2 27B
googleGemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...
- Input
- $0.845/1M
- Output
- $0.845/1M
- Context
- 8K
Meta: Llama 4 Scout
meta-llamaLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
- Input
- $0.130/1M
- Output
- $0.390/1M
- Context
- 10000K
Meta: Llama 4 Maverick
meta-llamaLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 1049K
Meta: Llama Guard 4 12B
meta-llamaLlama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
- Input
- $0.234/1M
- Output
- $0.234/1M
- Context
- 164K
Meta: Llama 3.3 70B Instruct (free)
meta-llamaThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
- Input
- Free
- Output
- Free
- Context
- 131K
Meta: Llama 3.3 70B Instruct
meta-llamaThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
- Input
- $0.130/1M
- Output
- $0.416/1M
- Context
- 131K
Meta: Llama 3.2 3B Instruct (free)
meta-llamaLlama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
- Input
- Free
- Output
- Free
- Context
- 131K
Meta: Llama 3.2 3B Instruct
meta-llamaLlama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
- Input
- $0.066/1M
- Output
- $0.436/1M
- Context
- 131K
Meta: Llama 3.2 1B Instruct
meta-llamaLlama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
- Input
- $0.035/1M
- Output
- $0.261/1M
- Context
- 131K
Meta: Llama 3.2 11B Vision Instruct
meta-llamaLlama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...
- Input
- $0.448/1M
- Output
- $0.448/1M
- Context
- 131K
Meta: Llama 3.1 8B Instruct
meta-llamaMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
- Input
- $0.026/1M
- Output
- $0.039/1M
- Context
- 131K
Meta: Llama 3.1 70B Instruct
meta-llamaMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
- Input
- $0.520/1M
- Output
- $0.520/1M
- Context
- 131K
Meta: Llama 3 8B Instruct
meta-llamaMeta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong...
- Input
- $0.182/1M
- Output
- $0.182/1M
- Context
- 8K
Meta: Llama 3 70B Instruct
meta-llamaMeta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong...
- Input
- $0.663/1M
- Output
- $0.962/1M
- Context
- 8K
Mistral: Mistral Medium 3.5
mistralaiMistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
- Input
- $1.95/1M
- Output
- $9.75/1M
- Context
- 262K
Mistral: Mistral Small 4
mistralaiMistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 262K
Mistral: Devstral 2 2512
mistralaiDevstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
- Input
- $0.520/1M
- Output
- $2.60/1M
- Context
- 262K
Mistral: Ministral 3 14B 2512
mistralaiThe largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
- Input
- $0.260/1M
- Output
- $0.260/1M
- Context
- 262K
Mistral: Ministral 3 8B 2512
mistralaiA balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
- Input
- $0.195/1M
- Output
- $0.195/1M
- Context
- 262K
Mistral: Mistral Large 3 2512
mistralaiMistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
- Input
- $0.650/1M
- Output
- $1.95/1M
- Context
- 262K
Mistral: Codestral 2508
mistralaiMistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
- Input
- $0.390/1M
- Output
- $1.17/1M
- Context
- 256K
Mistral: Ministral 3 3B 2512
mistralaiThe smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
- Input
- $0.130/1M
- Output
- $0.130/1M
- Context
- 131K
Mistral: Mistral Medium 3.1
mistralaiMistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
- Input
- $0.520/1M
- Output
- $2.60/1M
- Context
- 131K
Mistral: Mistral Medium 3
mistralaiMistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
- Input
- $0.520/1M
- Output
- $2.60/1M
- Context
- 131K
Mistral Large 2407
mistralaiThis is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
- Input
- $2.60/1M
- Output
- $7.80/1M
- Context
- 131K
Mistral: Mistral Nemo
mistralaiA 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
- Input
- $0.026/1M
- Output
- $0.039/1M
- Context
- 131K
Mistral: Mistral Small 3.2 24B
mistralaiMistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
- Input
- $0.098/1M
- Output
- $0.260/1M
- Context
- 128K
Mistral: Mistral Small 3.1 24B
mistralaiMistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
- Input
- $0.456/1M
- Output
- $0.721/1M
- Context
- 128K
Mistral Large
mistralaiThis is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
- Input
- $2.60/1M
- Output
- $7.80/1M
- Context
- 128K
Mistral: Mixtral 8x22B Instruct
mistralaiMistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
- Input
- $2.60/1M
- Output
- $7.80/1M
- Context
- 66K
Mistral: Saba
mistralaiMistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
- Input
- $0.260/1M
- Output
- $0.780/1M
- Context
- 33K
Mistral: Mistral Small 3
mistralaiMistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
- Input
- $0.065/1M
- Output
- $0.104/1M
- Context
- 33K
Mistral: Voxtral Small 24B 2507
mistralaiVoxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...
- Input
- $0.130/1M
- Output
- $0.390/1M
- Context
- 32K
DeepSeek: DeepSeek V4 Pro
deepseekDeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
- Input
- $0.566/1M
- Output
- $1.13/1M
- Context
- 1049K
DeepSeek: DeepSeek V4 Flash
deepseekDeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
- Input
- $0.127/1M
- Output
- $0.255/1M
- Context
- 1049K
DeepSeek: DeepSeek V3.2 Exp
deepseekDeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
- Input
- $0.351/1M
- Output
- $0.533/1M
- Context
- 164K
DeepSeek: DeepSeek V3.1 Terminus
deepseekDeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
- Input
- $0.351/1M
- Output
- $1.23/1M
- Context
- 164K
DeepSeek: DeepSeek V3.1
deepseekDeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
- Input
- $0.273/1M
- Output
- $1.03/1M
- Context
- 164K
DeepSeek: R1 0528
deepseekMay 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
- Input
- $0.650/1M
- Output
- $2.80/1M
- Context
- 164K
DeepSeek: DeepSeek V3 0324
deepseekDeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
- Input
- $0.260/1M
- Output
- $1.00/1M
- Context
- 164K
DeepSeek: R1
deepseekDeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
- Input
- $0.910/1M
- Output
- $3.25/1M
- Context
- 164K
DeepSeek: DeepSeek V3.2
deepseekDeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
- Input
- $0.297/1M
- Output
- $0.446/1M
- Context
- 131K
DeepSeek: DeepSeek V3
deepseekDeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
- Input
- $0.260/1M
- Output
- $1.04/1M
- Context
- 131K
DeepSeek: R1 Distill Qwen 32B
deepseekDeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
- Input
- $0.377/1M
- Output
- $0.377/1M
- Context
- 128K
DeepSeek: R1 Distill Llama 70B
deepseekDeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
- Input
- $1.04/1M
- Output
- $1.04/1M
- Context
- 128K
Cohere: Command A
cohereCommand A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 256K
Cohere: Command R7B (12-2024)
cohereCommand R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
- Input
- $0.049/1M
- Output
- $0.195/1M
- Context
- 128K
Cohere: Command R+ (08-2024)
coherecommand-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 128K
Cohere: Command R (08-2024)
coherecommand-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 128K
Perplexity: Sonar Pro Search
perplexityExclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 200K
Perplexity: Sonar Pro
perplexityNote: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 200K
Perplexity: Sonar Reasoning Pro
perplexityNote: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 128K
Perplexity: Sonar Deep Research
perplexitySonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 128K
Perplexity: Sonar
perplexitySonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...
- Input
- $1.30/1M
- Output
- $1.30/1M
- Context
- 127K
xAI: Grok 4.20 Multi-Agent
x-aiGrok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...
- Input
- $2.60/1M
- Output
- $7.80/1M
- Context
- 2000K
xAI: Grok 4.20
x-aiGrok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...
- Input
- $1.63/1M
- Output
- $3.25/1M
- Context
- 2000K
xAI: Grok 4.3
x-aiGrok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
- Input
- $1.63/1M
- Output
- $3.25/1M
- Context
- 1000K
xAI: Grok Build 0.1
x-aiGrok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
- Input
- $1.30/1M
- Output
- $2.60/1M
- Context
- 256K
Qwen: Qwen3 Coder 480B A35B (free)
qwenQwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
- Input
- Free
- Output
- Free
- Context
- 1049K
Qwen: Qwen3 Coder 480B A35B
qwenQwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
- Input
- $0.286/1M
- Output
- $2.34/1M
- Context
- 1049K
Qwen: Qwen3.7 Plus
qwenQwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
- Input
- $0.416/1M
- Output
- $1.66/1M
- Context
- 1000K
Qwen: Qwen3.7 Max
qwenQwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
- Input
- $1.63/1M
- Output
- $4.88/1M
- Context
- 1000K
Qwen: Qwen3.5 Plus 2026-04-20
qwenQwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...
- Input
- $0.390/1M
- Output
- $2.34/1M
- Context
- 1000K
Qwen: Qwen3.6 Flash
qwenQwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
- Input
- $0.244/1M
- Output
- $1.46/1M
- Context
- 1000K
Qwen: Qwen3.6 Plus
qwenQwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
- Input
- $0.423/1M
- Output
- $2.54/1M
- Context
- 1000K
Qwen: Qwen3.5-Flash
qwenThe Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
- Input
- $0.085/1M
- Output
- $0.338/1M
- Context
- 1000K
Qwen: Qwen3.5 Plus 2026-02-15
qwenThe Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
- Input
- $0.338/1M
- Output
- $2.03/1M
- Context
- 1000K
Qwen: Qwen3 Coder Plus
qwenQwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...
- Input
- $0.845/1M
- Output
- $4.23/1M
- Context
- 1000K
Qwen: Qwen3 Coder Flash
qwenQwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...
- Input
- $0.254/1M
- Output
- $1.27/1M
- Context
- 1000K
Qwen: Qwen Plus 0728 (thinking)
qwenQwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
- Input
- $0.338/1M
- Output
- $1.01/1M
- Context
- 1000K
Qwen: Qwen Plus 0728
qwenQwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
- Input
- $0.338/1M
- Output
- $1.01/1M
- Context
- 1000K
Qwen: Qwen-Plus
qwenQwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
- Input
- $0.338/1M
- Output
- $1.01/1M
- Context
- 1000K
Qwen: Qwen3.6 35B A3B
qwenQwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
- Input
- $0.195/1M
- Output
- $1.30/1M
- Context
- 262K
Qwen: Qwen3.6 Max Preview
qwenQwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...
- Input
- $1.35/1M
- Output
- $8.11/1M
- Context
- 262K
Qwen: Qwen3.6 27B
qwenQwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
- Input
- $0.375/1M
- Output
- $4.12/1M
- Context
- 262K
Qwen: Qwen3.5-9B
qwenQwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
- Input
- $0.130/1M
- Output
- $0.195/1M
- Context
- 262K
Qwen: Qwen3.5-35B-A3B
qwenThe Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...
- Input
- $0.182/1M
- Output
- $1.30/1M
- Context
- 262K
Qwen: Qwen3.5-27B
qwenThe Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
- Input
- $0.254/1M
- Output
- $2.03/1M
- Context
- 262K
Qwen: Qwen3.5-122B-A10B
qwenThe Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
- Input
- $0.338/1M
- Output
- $2.70/1M
- Context
- 262K
Qwen: Qwen3.5 397B A17B
qwenThe Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
- Input
- $0.507/1M
- Output
- $3.04/1M
- Context
- 262K
Qwen: Qwen3 Max Thinking
qwenQwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
- Input
- $1.01/1M
- Output
- $5.07/1M
- Context
- 262K
Qwen: Qwen3 Coder Next
qwenQwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
- Input
- $0.143/1M
- Output
- $1.04/1M
- Context
- 262K
Qwen: Qwen3 VL 32B Instruct
qwenQwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
- Input
- $0.135/1M
- Output
- $0.541/1M
- Context
- 262K
Qwen: Qwen3 VL 30B A3B Instruct
qwenQwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
- Input
- $0.169/1M
- Output
- $0.676/1M
- Context
- 262K
Qwen: Qwen3 VL 235B A22B Instruct
qwenQwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
- Input
- $0.260/1M
- Output
- $1.14/1M
- Context
- 262K
Qwen: Qwen3 Max
qwenQwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...
- Input
- $1.01/1M
- Output
- $5.07/1M
- Context
- 262K
Qwen: Qwen3 Next 80B A3B Thinking
qwenQwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...
- Input
- $0.127/1M
- Output
- $1.01/1M
- Context
- 262K
Qwen: Qwen3 Next 80B A3B Instruct (free)
qwenQwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...
- Input
- Free
- Output
- Free
- Context
- 262K
Qwen: Qwen3 Next 80B A3B Instruct
qwenQwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...
- Input
- $0.117/1M
- Output
- $1.43/1M
- Context
- 262K
Qwen: Qwen3 235B A22B Thinking 2507
qwenQwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
- Input
- $0.130/1M
- Output
- $0.130/1M
- Context
- 262K
Qwen: Qwen3 235B A22B Instruct 2507
qwenQwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
- Input
- $0.117/1M
- Output
- $0.130/1M
- Context
- 262K
Qwen: Qwen3 VL 8B Thinking
qwenQwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
- Input
- $0.152/1M
- Output
- $1.77/1M
- Context
- 256K
Qwen: Qwen3 VL 8B Instruct
qwenQwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
- Input
- $0.104/1M
- Output
- $0.650/1M
- Context
- 256K
Qwen: Qwen3 Coder 30B A3B Instruct
qwenQwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...
- Input
- $0.091/1M
- Output
- $0.351/1M
- Context
- 160K
Qwen: Qwen3 14B
qwenQwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
- Input
- $0.130/1M
- Output
- $0.312/1M
- Context
- 132K
Qwen: Qwen3 VL 30B A3B Thinking
qwenQwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...
- Input
- $0.169/1M
- Output
- $2.03/1M
- Context
- 131K
Qwen: Qwen3 VL 235B A22B Thinking
qwenQwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....
- Input
- $0.338/1M
- Output
- $3.38/1M
- Context
- 131K
Qwen: Qwen3 30B A3B Thinking 2507
qwenQwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
- Input
- $0.104/1M
- Output
- $0.520/1M
- Context
- 131K
Qwen: Qwen3 30B A3B Instruct 2507
qwenQwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
- Input
- $0.063/1M
- Output
- $0.251/1M
- Context
- 131K
Qwen: Qwen3 30B A3B
qwenQwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
- Input
- $0.156/1M
- Output
- $0.650/1M
- Context
- 131K
Qwen: Qwen3 8B
qwenQwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
- Input
- $0.065/1M
- Output
- $0.520/1M
- Context
- 131K
Qwen: Qwen3 32B
qwenQwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
- Input
- $0.104/1M
- Output
- $0.364/1M
- Context
- 131K
Qwen: Qwen3 235B A22B
qwenQwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
- Input
- $0.591/1M
- Output
- $2.37/1M
- Context
- 131K
Qwen: Qwen2.5 VL 72B Instruct
qwenQwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
- Input
- $1.04/1M
- Output
- $1.30/1M
- Context
- 131K
Qwen: Qwen2.5 7B Instruct
qwenQwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
- Input
- $0.052/1M
- Output
- $0.130/1M
- Context
- 131K
Qwen2.5 72B Instruct
qwenQwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
- Input
- $0.468/1M
- Output
- $0.520/1M
- Context
- 131K
Qwen2.5 Coder 32B Instruct
qwenQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
- Input
- $0.858/1M
- Output
- $1.30/1M
- Context
- 128K
Pareto Code Router
openrouterThe Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how...
- Input
- Free
- Output
- Free
- Context
- 2000K
Auto Router
openrouterYour prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used,...
- Input
- Free
- Output
- Free
- Context
- 2000K
OpenAI GPT Latest
~openaiThis model always redirects to the latest model in the OpenAI GPT family.
- Input
- $6.50/1M
- Output
- $39.00/1M
- Context
- 1050K
Owl Alpha
openrouterOwl Alpha is a high-performance foundation model designed for agentic workloads. Natively supports tool use, and long-context tasks, with strong performance in code generation, automated workflows, and complex instruction execution....
- Input
- Free
- Output
- Free
- Context
- 1049K
MiniMax: MiniMax M3
minimaxMiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- Input
- $0.390/1M
- Output
- $1.56/1M
- Context
- 1049K
Google Gemini Pro Latest
~googleThis model always redirects to the latest model in the Google Gemini Pro family.
- Input
- $2.60/1M
- Output
- $15.60/1M
- Context
- 1049K
Google Gemini Flash Latest
~googleThis model always redirects to the latest model in the Google Gemini Flash family.
- Input
- $1.95/1M
- Output
- $11.70/1M
- Context
- 1049K
Xiaomi: MiMo-V2.5-Pro
xiaomiMiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
- Input
- $0.566/1M
- Output
- $1.13/1M
- Context
- 1049K
Xiaomi: MiMo-V2.5
xiaomiMiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
- Input
- $0.182/1M
- Output
- $0.364/1M
- Context
- 1049K
Writer: Palmyra X5
writerPalmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million...
- Input
- $0.780/1M
- Output
- $7.80/1M
- Context
- 1040K
MiniMax: MiniMax-01
minimaxMiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
- Input
- $0.260/1M
- Output
- $1.43/1M
- Context
- 1000K
Anthropic: Claude Fable Latest
~anthropicThis model always redirects to the latest model in the Claude Fable family.
- Input
- $13.00/1M
- Output
- $65.00/1M
- Context
- 1000K
NVIDIA: Nemotron 3 Ultra (free)
nvidiaNVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
- Input
- Free
- Output
- Free
- Context
- 1000K
NVIDIA: Nemotron 3 Ultra
nvidiaNVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
- Input
- $0.650/1M
- Output
- $3.25/1M
- Context
- 1000K
Anthropic Claude Sonnet Latest
~anthropicThis model always redirects to the latest model in the Anthropic Claude Sonnet family.
- Input
- $3.90/1M
- Output
- $19.50/1M
- Context
- 1000K
Anthropic: Claude Opus Latest
~anthropicThis model always redirects to the latest model in the Claude Opus family.
- Input
- $6.50/1M
- Output
- $32.50/1M
- Context
- 1000K
NVIDIA: Nemotron 3 Super (free)
nvidiaNVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
- Input
- Free
- Output
- Free
- Context
- 1000K
NVIDIA: Nemotron 3 Super
nvidiaNVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
- Input
- $0.117/1M
- Output
- $0.585/1M
- Context
- 1000K
Amazon: Nova 2 Lite
amazonNova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...
- Input
- $0.390/1M
- Output
- $3.25/1M
- Context
- 1000K
Amazon: Nova Premier 1.0
amazonAmazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
- Input
- $3.25/1M
- Output
- $16.25/1M
- Context
- 1000K
MiniMax: MiniMax M1
minimaxMiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
- Input
- $0.520/1M
- Output
- $2.86/1M
- Context
- 1000K
OpenAI GPT Mini Latest
~openaiThis model always redirects to the latest model in the OpenAI GPT Mini family.
- Input
- $0.975/1M
- Output
- $5.85/1M
- Context
- 400K
Amazon: Nova Lite 1.0
amazonAmazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...
- Input
- $0.078/1M
- Output
- $0.312/1M
- Context
- 300K
Amazon: Nova Pro 1.0
amazonAmazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...
- Input
- $1.04/1M
- Output
- $4.16/1M
- Context
- 300K
MoonshotAI: Kimi K2.7 Code
moonshotaiMoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
- Input
- $1.23/1M
- Output
- $5.20/1M
- Context
- 262K
Nex AGI: Nex-N2-Pro (free)
nex-agiNex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
- Input
- Free
- Output
- Free
- Context
- 262K
inclusionAI: Ring-2.6-1T
inclusionaiRing-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...
- Input
- $0.098/1M
- Output
- $0.813/1M
- Context
- 262K
Poolside: Laguna XS.2 (free)
poolsideLaguna XS.2 is the second-generation model in the XS size class from [Poolside](https://poolside.ai), their efficient coding agent series. It combines tool calling and reasoning capabilities with a compact footprint, offering...
- Input
- Free
- Output
- Free
- Context
- 262K
Poolside: Laguna M.1 (free)
poolsideLaguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...
- Input
- Free
- Output
- Free
- Context
- 262K
MoonshotAI Kimi Latest
~moonshotaiThis model always redirects to the latest model in the MoonshotAI Kimi family.
- Input
- $0.884/1M
- Output
- $4.43/1M
- Context
- 262K
inclusionAI: Ling-2.6-1T
inclusionaiLing-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...
- Input
- $0.098/1M
- Output
- $0.813/1M
- Context
- 262K
Tencent: Hy3 preview
tencentHy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...
- Input
- $0.082/1M
- Output
- $0.273/1M
- Context
- 262K
inclusionAI: Ling-2.6-flash
inclusionaiLing-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....
- Input
- $0.013/1M
- Output
- $0.039/1M
- Context
- 262K
MoonshotAI: Kimi K2.6
moonshotaiKimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
- Input
- $0.884/1M
- Output
- $4.43/1M
- Context
- 262K
Arcee AI: Trinity Large Thinking
arcee-aiTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
- Input
- $0.286/1M
- Output
- $1.10/1M
- Context
- 262K
Z.ai: GLM 5 Turbo
z-aiGLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...
- Input
- $1.56/1M
- Output
- $5.20/1M
- Context
- 262K
ByteDance Seed: Seed-2.0-Lite
bytedance-seedSeed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...
- Input
- $0.325/1M
- Output
- $2.60/1M
- Context
- 262K
ByteDance Seed: Seed-2.0-Mini
bytedance-seedSeed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...
- Input
- $0.130/1M
- Output
- $0.520/1M
- Context
- 262K
StepFun: Step 3.5 Flash
stepfunStep 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....
- Input
- $0.117/1M
- Output
- $0.390/1M
- Context
- 262K
MoonshotAI: Kimi K2.5
moonshotaiKimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
- Input
- $0.488/1M
- Output
- $2.63/1M
- Context
- 262K
ByteDance Seed: Seed 1.6 Flash
bytedance-seedSeed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...
- Input
- $0.098/1M
- Output
- $0.390/1M
- Context
- 262K
ByteDance Seed: Seed 1.6
bytedance-seedSeed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.
- Input
- $0.325/1M
- Output
- $2.60/1M
- Context
- 262K
Xiaomi: MiMo-V2-Flash
xiaomiMiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a...
- Input
- $0.130/1M
- Output
- $0.390/1M
- Context
- 262K
NVIDIA: Nemotron 3 Nano 30B A3B
nvidiaNVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...
- Input
- $0.065/1M
- Output
- $0.260/1M
- Context
- 262K
MoonshotAI: Kimi K2 Thinking
moonshotaiKimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
- Input
- $0.780/1M
- Output
- $3.25/1M
- Context
- 262K
MoonshotAI: Kimi K2 0905
moonshotaiKimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
- Input
- $0.780/1M
- Output
- $3.25/1M
- Context
- 262K
Morph: Morph V3 Large
morphMorph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...
- Input
- $1.17/1M
- Output
- $2.47/1M
- Context
- 262K
StepFun: Step 3.7 Flash
stepfunStep 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
- Input
- $0.260/1M
- Output
- $1.49/1M
- Context
- 256K
NVIDIA: Nemotron 3 Nano Omni (free)
nvidiaNVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
- Input
- Free
- Output
- Free
- Context
- 256K
Kwaipilot: KAT-Coder-Pro V2
kwaipilotKAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions,...
- Input
- $0.390/1M
- Output
- $1.56/1M
- Context
- 256K
NVIDIA: Nemotron 3 Nano 30B A3B (free)
nvidiaNVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...
- Input
- Free
- Output
- Free
- Context
- 256K
Relace: Relace Search
relaceThe relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...
- Input
- $1.30/1M
- Output
- $3.90/1M
- Context
- 256K
Relace: Relace Apply 3
relaceRelace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...
- Input
- $1.10/1M
- Output
- $1.63/1M
- Context
- 256K
AI21: Jamba Large 1.7
ai21Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
- Input
- $2.60/1M
- Output
- $10.40/1M
- Context
- 256K
MiniMax: MiniMax M2.7
minimaxMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
- Input
- $0.325/1M
- Output
- $1.30/1M
- Context
- 205K
MiniMax: MiniMax M2.5
minimaxMiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
- Input
- $0.195/1M
- Output
- $1.17/1M
- Context
- 205K
MiniMax: MiniMax M2.1
minimaxMiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
- Input
- $0.377/1M
- Output
- $1.23/1M
- Context
- 205K
MiniMax: MiniMax M2
minimaxMiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
- Input
- $0.332/1M
- Output
- $1.30/1M
- Context
- 205K
Z.ai: GLM 5.1
z-aiGLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...
- Input
- $1.27/1M
- Output
- $4.00/1M
- Context
- 203K
Z.ai: GLM 5
z-aiGLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
- Input
- $0.780/1M
- Output
- $2.50/1M
- Context
- 203K
Z.ai: GLM 4.7 Flash
z-aiAs a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
- Input
- $0.078/1M
- Output
- $0.520/1M
- Context
- 203K
Z.ai: GLM 4.7
z-aiGLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
- Input
- $0.520/1M
- Output
- $2.27/1M
- Context
- 203K
Z.ai: GLM 4.6
z-aiCompared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
- Input
- $0.559/1M
- Output
- $2.26/1M
- Context
- 203K
Anthropic Claude Haiku Latest
~anthropicThis model always redirects to the latest model in the Anthropic Claude Haiku family.
- Input
- $1.30/1M
- Output
- $6.50/1M
- Context
- 200K
Free Models Router
openrouterThe simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...
- Input
- Free
- Output
- Free
- Context
- 200K
IBM: Granite 4.1 8B
ibm-graniteGranite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
- Input
- $0.065/1M
- Output
- $0.130/1M
- Context
- 131K
AionLabs: Aion-2.0
aion-labsAion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....
- Input
- $1.04/1M
- Output
- $2.08/1M
- Context
- 131K
Z.ai: GLM 4.6V
z-aiGLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
- Input
- $0.390/1M
- Output
- $1.17/1M
- Context
- 131K
Arcee AI: Trinity Mini
arcee-aiTrinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...
- Input
- $0.058/1M
- Output
- $0.195/1M
- Context
- 131K
Prime Intellect: INTELLECT-3
prime-intellectINTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL). It offers state-of-the-art performance for its size across math,...
- Input
- $0.260/1M
- Output
- $1.43/1M
- Context
- 131K
Microsoft: Phi 4 Mini Instruct
microsoftPhi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4...
- Input
- $0.104/1M
- Output
- $0.455/1M
- Context
- 131K
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
nvidiaLlama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
- Input
- $0.520/1M
- Output
- $0.520/1M
- Context
- 131K
TheDrummer: Cydonia 24B V4.1
thedrummerUncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.
- Input
- $0.390/1M
- Output
- $0.650/1M
- Context
- 131K
Nous: Hermes 4 70B
nousresearchHermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowing the model to either...
- Input
- $0.169/1M
- Output
- $0.520/1M
- Context
- 131K
Nous: Hermes 4 405B
nousresearchHermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...
- Input
- $1.30/1M
- Output
- $3.90/1M
- Context
- 131K
Z.ai: GLM 4.5
z-aiGLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
- Input
- $0.780/1M
- Output
- $2.86/1M
- Context
- 131K
Z.ai: GLM 4.5 Air
z-aiGLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...
- Input
- $0.163/1M
- Output
- $1.10/1M
- Context
- 131K
Switchpoint Router
switchpointSwitchpoint AI's router instantly analyzes your request and directs it to the optimal AI from an ever-evolving library. As the world of LLMs advances, our router gets smarter, ensuring you...
- Input
- $1.10/1M
- Output
- $4.42/1M
- Context
- 131K
MoonshotAI: Kimi K2 0711
moonshotaiKimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
- Input
- $0.741/1M
- Output
- $2.99/1M
- Context
- 131K
Tencent: Hunyuan A13B Instruct
tencentHunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
- Input
- $0.182/1M
- Output
- $0.741/1M
- Context
- 131K
Baidu: ERNIE 4.5 VL 424B A47B
baiduERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...
- Input
- $0.546/1M
- Output
- $1.63/1M
- Context
- 131K
Arcee AI: Virtuoso Large
arcee-aiVirtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
- Input
- $0.975/1M
- Output
- $1.56/1M
- Context
- 131K
AionLabs: Aion-1.0
aion-labsAion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree...
- Input
- $5.20/1M
- Output
- $10.40/1M
- Context
- 131K
AionLabs: Aion-1.0-Mini
aion-labsAion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, coding, and logic. It is a modified variant...
- Input
- $0.910/1M
- Output
- $1.82/1M
- Context
- 131K
Sao10K: Llama 3.3 Euryale 70B
sao10kEuryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).
- Input
- $0.845/1M
- Output
- $0.975/1M
- Context
- 131K
Sao10K: Llama 3.1 Euryale 70B v2.2
sao10kEuryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).
- Input
- $1.10/1M
- Output
- $1.10/1M
- Context
- 131K
Nous: Hermes 3 70B Instruct
nousresearchHermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...
- Input
- $0.910/1M
- Output
- $0.910/1M
- Context
- 131K
Nous: Hermes 3 405B Instruct (free)
nousresearchHermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...
- Input
- Free
- Output
- Free
- Context
- 131K
Nous: Hermes 3 405B Instruct
nousresearchHermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...
- Input
- $1.30/1M
- Output
- $1.30/1M
- Context
- 131K
IBM: Granite 4.0 Micro
ibm-graniteGranite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
- Input
- $0.022/1M
- Output
- $0.146/1M
- Context
- 131K
NVIDIA: Nemotron 3.5 Content Safety (free)
nvidiaNVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...
- Input
- Free
- Output
- Free
- Context
- 128K
OpenRouter: Fusion
openrouterFusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...
- Input
- Free
- Output
- Free
- Context
- 128K
Inception: Mercury 2
inceptionMercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
- Input
- $0.325/1M
- Output
- $0.975/1M
- Context
- 128K
LiquidAI: LFM2-24B-A2B
liquidLFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...
- Input
- $0.039/1M
- Output
- $0.156/1M
- Context
- 128K
Upstage: Solar Pro 3
upstageSolar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...
- Input
- $0.195/1M
- Output
- $0.780/1M
- Context
- 128K
Body Builder (beta)
openrouterTransform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example:...
- Input
- Free
- Output
- Free
- Context
- 128K
Deep Cogito: Cogito v2.1 671B
deepcogitoCogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...
- Input
- $1.63/1M
- Output
- $1.63/1M
- Context
- 128K
NVIDIA: Nemotron Nano 12B 2 VL (free)
nvidiaNVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...
- Input
- Free
- Output
- Free
- Context
- 128K
NVIDIA: Nemotron Nano 9B V2 (free)
nvidiaNVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...
- Input
- Free
- Output
- Free
- Context
- 128K
ByteDance: UI-TARS 7B
bytedanceUI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
- Input
- $0.130/1M
- Output
- $0.260/1M
- Context
- 128K
Amazon: Nova Micro 1.0
amazonAmazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...
- Input
- $0.046/1M
- Output
- $0.182/1M
- Context
- 128K
Morph: Morph V3 Fast
morphMorph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>...
- Input
- $1.04/1M
- Output
- $1.56/1M
- Context
- 82K
MiniMax: MiniMax M2-her
minimaxMiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
- Input
- $0.390/1M
- Output
- $1.56/1M
- Context
- 66K
AllenAI: Olmo 3 32B Think
allenaiOlmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...
- Input
- $0.195/1M
- Output
- $0.650/1M
- Context
- 66K
Z.ai: GLM 4.5V
z-aiGLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
- Input
- $0.780/1M
- Output
- $2.34/1M
- Context
- 66K
Reka Flash 3
rekaaiReka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...
- Input
- $0.130/1M
- Output
- $0.260/1M
- Context
- 66K
WizardLM-2 8x22B
microsoftWizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...
- Input
- $0.806/1M
- Output
- $0.806/1M
- Context
- 66K
Perceptron: Perceptron Mk1
perceptronPerceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...
- Input
- $0.195/1M
- Output
- $1.95/1M
- Context
- 33K
LiquidAI: LFM2.5-1.2B-Thinking (free)
liquidLFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is...
- Input
- Free
- Output
- Free
- Context
- 33K
LiquidAI: LFM2.5-1.2B-Instruct (free)
liquidLFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
- Input
- Free
- Output
- Free
- Context
- 33K
EssentialAI: Rnj 1 Instruct
essentialaiRnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance...
- Input
- $0.195/1M
- Output
- $0.195/1M
- Context
- 33K
Venice: Uncensored (free)
cognitivecomputationsVenice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...
- Input
- Free
- Output
- Free
- Context
- 33K
Arcee AI: Coder Large
arcee-aiCoder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
- Input
- $0.650/1M
- Output
- $1.04/1M
- Context
- 33K
TheDrummer: Skyfall 36B V2
thedrummerSkyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.
- Input
- $0.715/1M
- Output
- $1.04/1M
- Context
- 33K
AionLabs: Aion-RP 1.0 (8B)
aion-labsAion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...
- Input
- $1.04/1M
- Output
- $2.08/1M
- Context
- 33K
TheDrummer: UnslopNemo 12B
thedrummerUnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.
- Input
- $0.520/1M
- Output
- $0.520/1M
- Context
- 33K
Magnum v4 72B
anthracite-orgThis is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
- Input
- $3.90/1M
- Output
- $6.50/1M
- Context
- 33K
TheDrummer: Rocinante 12B
thedrummerRocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives -...
- Input
- $0.221/1M
- Output
- $0.559/1M
- Context
- 33K
Reka Edge
rekaaiReka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding,...
- Input
- $0.130/1M
- Output
- $0.130/1M
- Context
- 16K
Microsoft: Phi 4
microsoft[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
- Input
- $0.085/1M
- Output
- $0.182/1M
- Context
- 16K
Sao10K: Llama 3.1 70B Hanami x1
sao10kThis is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
- Input
- $3.90/1M
- Output
- $3.90/1M
- Context
- 16K
Sao10K: Llama 3 8B Lunaris
sao10kLunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge....
- Input
- $0.052/1M
- Output
- $0.065/1M
- Context
- 8K
Inflection: Inflection 3 Productivity
inflectionInflection 3 Productivity is optimized for following instructions. It is better for tasks requiring JSON output or precise adherence to provided guidelines. It has access to recent news. For emotional...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 8K
Inflection: Inflection 3 Pi
inflectionInflection 3 Pi powers Inflection's [Pi](https://pi.ai) chatbot, including backstory, emotional intelligence, productivity, and safety. It has access to recent news, and excels in scenarios like customer support and roleplay. Pi...
- Input
- $3.25/1M
- Output
- $13.00/1M
- Context
- 8K
Mancer: Weaver (alpha)
mancerAn attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
- Input
- $0.975/1M
- Output
- $1.30/1M
- Context
- 8K
ReMM SLERP 13B
undi95A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
- Input
- $0.585/1M
- Output
- $0.845/1M
- Context
- 6K
MythoMax 13B
grypheOne of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
- Input
- $0.078/1M
- Output
- $0.078/1M
- Context
- 4K