3,424 models

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ollama/mistral 8.192K context Input not listed Output not listed

Reka 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...

rekaai/reka-flash-3 65.536K context $0.1/M input $0.2/M output

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bedrock/us-east-1/deepseek.v3.2 163.84K context $0.62/M input $1.85/M output

Command 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...

cohere/command-a 256K context $2.5/M input $10/M output

Llama 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...

meta-llama/llama-4-maverick 128K context $0.2/M input $0.696/M output

Ling-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....

inclusionai/ling-2.6-flash 262.144K context $0.01/M input $0.03/M output

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azure_ai/fw-glm-5 200K context $1.1/M input $3.52/M output

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azure_ai/fw-deepseek-v4-pro 1M context $1.925/M input $3.828/M output

DeepSeek 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...

deepseek/deepseek-chat-v3-0324 163.84K context $0.25/M input $1/M output

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azure_ai/fw-deepseek-v3.2 163.84K context $0.62/M input $1.85/M output

Llama 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...

meta-llama/llama-4-scout 327.68K context $0.1/M input $0.3/M output

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

thedrummer/skyfall-36b-v2 32.768K context $0.55/M input $0.8/M output

Qwen3-32B 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...

qwen/qwen3-32b 40.96K context $0.08/M input $0.28/M output

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ollama/llama3:8b 8.192K context Input not listed Output not listed

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ollama/llama3:70b 8.192K context Input not listed Output not listed

Qwen3-8B 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,...

qwen/qwen3-8b 131.072K context $0.117/M input $0.455/M output

Gemini 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...

google/gemini-2.5-pro-preview 1.04858M context $1.25/M input $10/M output

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

thinkingmachines/inkling-small:free 1.04858M context Free input Free output

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

anthropic/claude-fable-5.1 1M context $10/M input $50/M output

Qwen3.6-35B-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...

qwen/qwen3.6-35b-a3b 262.144K context $0.1/M input $0.9/M output

Gemma 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...

google/gemma-4-31b-it:batch 262.144K context $0.39/M input $0.97/M output

Qwen2.5 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...

qwen/qwen-2.5-72b-instruct 32.768K context $0.36/M input $0.4/M output

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azure/command-r-plus 128K context $3/M input $15/M output

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azure_ai/claude-haiku-4-5 200K context $1/M input $5/M output

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), 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

openai/gpt-6-astra-pro 1.05M context $10/M input $50/M output

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azure_ai/claude-opus-4-5 200K context $5/M input $25/M output

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azure_ai/claude-opus-4-6 1M context $5/M input $25/M output

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azure_ai/claude-opus-4-7 1M context $5/M input $25/M output

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azure_ai/claude-fable-5 1M context $10/M input $50/M output

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azure_ai/claude-opus-5 1M context $5/M input $25/M output