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Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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Qwen3-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...
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Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Opus 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...
GPT-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....
gpt-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...
Mistral-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...
Qwen3.6 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...
GPT-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...
This model always redirects to the latest model in the DeepSeek V4 Flash family.
NVIDIA-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...
Kimi 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...
Hermes 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...
Seed 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...
Seed 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.
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode Note: As of September...
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
Llama 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...
GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
Qwen3-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...
Fast-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 Note: As of September...
KAT-Coder-Air V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...
Auto Router (Beta) is a task-aware router from OpenRouter. It classifies each request, then routes it the [most popular model](/rankings#task-spend) for that task based on aggregate spend, filtered by your...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| qwen/qwen3-14bopenrouter/qwen/qwen3-14b | 131.072K | $0.12 | $0.24 | — | |||
| qwen/qwen3-32bopenrouter/qwen/qwen3-32b | 131.072K | $0.08 | $0.28 | — | |||
| qwen/qwen3-235b-a22bopenrouter/qwen/qwen3-235b-a22b | 131.072K | $0.455 | $1.82 | — | |||
| openai/o4-mini-highopenrouter/openai/o4-mini-high | 200K | $1.1 | $4.4 | — | |||
| meta-llama/llama-4-maverickopenrouter/meta-llama/llama-4-maverick | 1.04858M | $0.2 | $0.696 | — | |||
| meta-llama/llama-4-scoutopenrouter/meta-llama/llama-4-scout | 1.31072M | $0.1 | $0.3 | — | |||
| openai/o1-proopenrouter/openai/o1-pro | 200K | $150 | $600 | — | |||
| google/gemma-3-4b-itopenrouter/google/gemma-3-4b-it | 131.072K | $0.05 | $0.1 | — | |||
| google/gemma-3-12b-itopenrouter/google/gemma-3-12b-it | 131.072K | $0.05 | $0.15 | — | |||
| google/gemma-3-27b-itopenrouter/google/gemma-3-27b-it | 131.072K | $0.08 | $0.45 | — | |||
| qwen/qwen2.5-vl-72b-instructopenrouter/qwen/qwen2.5-vl-72b-instruct | 128K | $0.8 | $1 | — | |||
| qwen/qwen-plusopenrouter/qwen/qwen-plus | 1M | $0.26 | $0.78 | — | |||
| minimax/minimax-01openrouter/minimax/minimax-01 | 1.00019M | $0.2 | $1.1 | — | |||
| meta-llama/llama-3.3-70b-instructopenrouter/meta-llama/llama-3.3-70b-instruct | 131.072K | $0.1 | $0.32 | — | |||
| openai/gpt-4o-2024-11-20openrouter/openai/gpt-4o-2024-11-20 | 128K | $2.5 | $10 | — | |||
| mistralai/mistral-large-2407openrouter/mistralai/mistral-large-2407 | 131.072K | $2 | $6 | — | |||
| meta-llama/llama-3.2-3b-instructopenrouter/meta-llama/llama-3.2-3b-instruct | 131.072K | $0.05 | $0.33 | — | |||
| Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instruct | 131.072K | $0.104 | $0.416 | — | |||
| openai/gpt-4o-2024-08-06openrouter/openai/gpt-4o-2024-08-06 | 128K | $2.5 | $10 | — | |||
| meta-llama/llama-3.1-70b-instructopenrouter/meta-llama/llama-3.1-70b-instruct | 131.072K | $0.4 | $0.4 | — | |||
| meta-llama/llama-3.1-8b-instructopenrouter/meta-llama/llama-3.1-8b-instruct | 131.072K | $0.05 | $0.08 | — | |||
| mistralai/mistral-nemoopenrouter/mistralai/mistral-nemo | 131.072K | $0.019 | $0.03 | — | |||
| openai/gpt-4o-mini-2024-07-18openrouter/openai/gpt-4o-mini-2024-07-18 | 128K | $0.15 | $0.6 | — | |||
| openai/gpt-4-turboopenrouter/openai/gpt-4-turbo | 128K | $10 | $30 | — | |||
| openai/gpt-4-turbo-previewopenrouter/openai/gpt-4-turbo-preview | 128K | $10 | $30 | — | |||
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| Anthropic: Claude Opus 4.7 (batch)anthropic/claude-opus-4.7:batch | 1M | $2.5 | $12.5 | — | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 400K | $0.125 | $1 | — | |||
| OpenAI: gpt-oss-120b (batch)openai/gpt-oss-120b:batch | 131.072K | $0.15 | $0.6 | — | |||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 128K | $0.075 | $0.2 | — | |||
| Qwen: Qwen3.6 Flashqwen/qwen3.6-flash | 1M | $0.188 | $1.125 | — | |||
| OpenAI: GPT-5.3 Chatopenai/gpt-5.3-chat | 128K | $1.75 | $14 | — | |||
| DeepSeek: DeepSeek V4 Flash Latest~deepseek/deepseek-v4-flash-latest | 1.04858M | $0.035 | $0.106 | — | |||
| NVIDIA: Nemotron Nano 9B V2 (free)nvidia/nemotron-nano-9b-v2:free | 128K | Free | Free | — | |||
| MoonshotAI: Kimi K2 0905moonshotai/kimi-k2-0905 | 262.144K | $0.6 | $2.5 | — | |||
| Nous: Hermes 4 70Bnousresearch/hermes-4-70b | 131.072K | $0.13 | $0.4 | — | |||
| ByteDance Seed: Seed 1.6 Flashbytedance-seed/seed-1.6-flash | 262.144K | $0.075 | $0.3 | — | |||
| ByteDance Seed: Seed 1.6bytedance-seed/seed-1.6 | 262.144K | $0.25 | $2 | — | |||
| OpenAI: GPT-5.6 Luna Proopenai/gpt-5.6-luna-pro | 1.05M | $0.2 | $1.2 | — | |||
| Qwen: Qwen3.7 Flashqwen/qwen3.7-flash | 1M | $0.03 | $0.13 | — | |||
| Ling-3.0-flash (free)inclusionai/ling-3.0-flash:free | 262.144K | Free | Free | — | |||
| Claude Opus 5 (Fast)anthropic/claude-opus-5-fast | 1M | $10 | $50 | — | |||
| Poolside: Laguna S 2.1 (free)poolside/laguna-s-2.1:free | 262.144K | Free | Free | — | |||
| OpenAI: GPT-5.6 Terra Proopenai/gpt-5.6-terra-pro | 1.05M | $2 | $12 | — | |||
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | 131.072K | $0.05 | $0.33 | — | |||
| OpenAI: GPT-5.6 Sol Proopenai/gpt-5.6-sol-pro | 1.05M | $2 | $10 | — | |||
| Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instruct | 131.072K | $0.117 | $0.455 | — | |||
| Anthropic: Claude Opus 4.8 (Fast)anthropic/claude-opus-4.8-fast | 1M | $10 | $50 | — | |||
| Kwaipilot: KAT-Coder-Air V2.5kwaipilot/kat-coder-air-v2.5 | 256K | $0.15 | $0.6 | — | |||
| Auto Router (Beta)openrouter/auto-beta | 2M | — | — | — |