Amazon 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...

amazon/nova-pro-v1 300K context $0.8/M input $3.2/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

No provider description is available for this model yet.

fireworks_ai/glm-5p2-fast 1.04858M context $2.1/M input $6.6/M output

This 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...

openai/gpt-3.5-turbo-16k 16.385K context $3/M input $4/M output

No provider description is available for this model yet.

fireworks_ai/deepseek-v4-flash-0731 1.04858M context $0.14/M input $0.28/M output

No provider description is available for this model yet.

azure_ai/fw-inkling 1.04858M context $1/M input $4.05/M output

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

openai/gpt-3.5-turbo-instruct 4.095K context $1.5/M input $2/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

Qwen3.6 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...

qwen/qwen3.6-27b 262.144K context $0.3/M input $2/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

No provider description is available for this model yet.

azure_ai/fw-glm-5.2-fast 1.04858M context $2.1/M input $6.6/M output

The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on...

openrouter/auto 2M 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

Gemma 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...

google/gemma-3n-e4b-it 32.768K context $0.06/M input $0.12/M output

No provider description is available for this model yet.

azure_ai/fw-glm-5.2 1.04858M context $1.54/M input $4.84/M output

No provider description is available for this model yet.

azure_ai/fw-glm-5.1 202.8K context $1.54/M input $4.84/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

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

Morph'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>...

morph/morph-v3-large 262.144K context $0.9/M input $1.9/M output

Qwen3.6-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...

qwen/qwen3.6-max-preview 262.144K context $1.027/M input $6.162/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

No provider description is available for this model yet.

cognition/swe-1.7 Not documented context $2.5/M input $12.5/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

Hunyuan-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...

tencent/hunyuan-a13b-instruct 131.072K context $0.14/M input $0.57/M output

No provider description is available for this model yet.

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

No provider description is available for this model yet.

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

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

No provider description is available for this model yet.

cognition/swe-1.6 Not documented context $0.5/M input $2.5/M output

Qwen3, 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...

qwen/qwen3-30b-a3b 40.96K context $0.12/M input $0.5/M output

Venice 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...

cognitivecomputations/dolphin-mistral-24b-venice-edition 128K context $0.2/M input $0.9/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

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

openai/gpt-5.6-sol-pro 1.05M context $2/M input $10/M output

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

openai/gpt-5.6-luna-pro 1.05M context $0.2/M input $1.2/M output

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...

nvidia/nemotron-nano-9b-v2:free 128K context Free input Free output