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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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...
DeepSeek-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...
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....
Qwen3-14B 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...
Qwen3-235B-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...
o3 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....
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
GPT-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...
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...
Qwen3-30B-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...
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
Mistral 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...
Rocinante 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 -...
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| qwen/qwen2.5-vl-72b-instructopenrouter/qwen/qwen2.5-vl-72b-instruct | Openrouter |
128K | $0.8 | $1 | — | ||
| qwen/qwen-plusopenrouter/qwen/qwen-plus | Openrouter |
1M | $0.26 | $0.78 | — | ||
| mistralai/mistral-small-24b-instruct-2501openrouter/mistralai/mistral-small-24b-instruct-2501 | Openrouter |
32.768K | $0.05 | $0.08 | — | ||
| minimax/minimax-01openrouter/minimax/minimax-01 | Openrouter |
1.00019M | $0.2 | $1.1 | — | ||
| meta-llama/llama-3.3-70b-instructopenrouter/meta-llama/llama-3.3-70b-instruct | Openrouter |
131.072K | $0.1 | $0.32 | — | ||
| openai/gpt-4o-2024-11-20openrouter/openai/gpt-4o-2024-11-20 | Openrouter |
128K | $2.5 | $10 | — | ||
| mistralai/mistral-large-2407openrouter/mistralai/mistral-large-2407 | Openrouter |
131.072K | $2 | $6 | — | ||
| qwen/qwen-2.5-7b-instructopenrouter/qwen/qwen-2.5-7b-instruct | Openrouter |
32.768K | $0.1 | $0.2 | — | ||
| meta-llama/llama-3.2-1b-instructopenrouter/meta-llama/llama-3.2-1b-instruct | Openrouter |
60K | $0.027 | $0.201 | — | ||
| meta-llama/llama-3.2-3b-instructopenrouter/meta-llama/llama-3.2-3b-instruct | Openrouter |
131.072K | $0.05 | $0.33 | — | ||
| qwen/qwen-2.5-72b-instructopenrouter/qwen/qwen-2.5-72b-instruct | Openrouter |
32.768K | $0.36 | $0.4 | — | ||
| openai/gpt-4o-2024-08-06openrouter/openai/gpt-4o-2024-08-06 | Openrouter |
128K | $2.5 | $10 | — | ||
| meta-llama/llama-3.1-70b-instructopenrouter/meta-llama/llama-3.1-70b-instruct | Openrouter |
131.072K | $0.4 | $0.4 | — | ||
| meta-llama/llama-3.1-8b-instructopenrouter/meta-llama/llama-3.1-8b-instruct | Openrouter |
131.072K | $0.05 | $0.08 | — | ||
| mistralai/mistral-nemoopenrouter/mistralai/mistral-nemo | Openrouter |
131.072K | $0.019 | $0.03 | — | ||
| openai/gpt-4o-mini-2024-07-18openrouter/openai/gpt-4o-mini-2024-07-18 | Openrouter |
128K | $0.15 | $0.6 | — | ||
| openai/gpt-4-turboopenrouter/openai/gpt-4-turbo | Openrouter |
128K | $10 | $30 | — | ||
| openai/gpt-4-turbo-previewopenrouter/openai/gpt-4-turbo-preview | Openrouter |
128K | $10 | $30 | — | ||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | Mistral AI |
262.144K | $0.075 | $0.075 | — | ||
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | Google |
1.04858M | $0.375 | $1.875 | — | ||
| DeepSeek: DeepSeek V3.1 Terminusdeepseek/deepseek-v3.1-terminus | DeepSeek |
131.072K | $0.27 | $1 | — | ||
| Anthropic: Claude Opus 4.7 (batch)anthropic/claude-opus-4.7:batch | Anthropic |
1M | $2.5 | $12.5 | — | ||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | OpenAI |
400K | $0.125 | $1 | — | ||
| Qwen: Qwen3 14Bqwen/qwen3-14b | Alibaba Qwen |
40.96K | $0.12 | $0.24 | — | ||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | Alibaba Qwen |
131.072K | $0.455 | $1.82 | — | ||
| OpenAI: o3 (batch)openai/o3:batch | OpenAI |
200K | $1 | $4 | — | ||
| Z.ai: GLM 5V Turboz-ai/glm-5v-turbo | Z Ai |
202.752K | $1.2 | $4 | — | ||
| OpenAI: GPT-4o (batch)openai/gpt-4o:batch | OpenAI |
128K | $1.25 | $5 | — | ||
| Qwen: Qwen3.6 Flashqwen/qwen3.6-flash | Alibaba Qwen |
1M | $0.188 | $1.125 | — | ||
| OpenAI: GPT-5.3 Chatopenai/gpt-5.3-chat | OpenAI |
128K | $1.75 | $14 | — | ||
| DeepSeek: DeepSeek V4 Flash Latest~deepseek/deepseek-v4-flash-latest | Deepseek |
1.04858M | $0.04 | $0.1 | — | ||
| NVIDIA: Nemotron Nano 9B V2 (free)nvidia/nemotron-nano-9b-v2:free | NVIDIA |
128K | Free | Free | — | ||
| MoonshotAI: Kimi K2 0905moonshotai/kimi-k2-0905 | Moonshot AI |
262.144K | $0.6 | $2.5 | — | ||
| Nous: Hermes 4 70Bnousresearch/hermes-4-70b | 131.072K | $0.13 | $0.4 | — | |||
| Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507 | Alibaba Qwen |
81.92K | $0.2 | $2.4 | — | ||
| 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 | OpenAI |
1.05M | $0.2 | $1.2 | — | ||
| Mistral: Mistral Small 3mistralai/mistral-small-24b-instruct-2501 | Mistral AI |
32.768K | $0.05 | $0.08 | — | ||
| TheDrummer: Rocinante 12Bthedrummer/rocinante-12b | 65.536K | $0.25 | $0.5 | — | |||
| Qwen: Qwen3.7 Flashqwen/qwen3.7-flash | Alibaba Qwen |
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 | Anthropic |
1M | $10 | $50 | — | ||
| Poolside: Laguna S 2.1 (free)poolside/laguna-s-2.1:free | Poolside |
262.144K | Free | Free | — |