3,455 models

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qwencloud/qwen-turbo-2025-04-28 1M context $0.05/M input $0.2/M output

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openrouter/openai/gpt-5.3-codex 272K context $1.75/M input $14/M output

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openrouter/openai/gpt-5.1 272K context $1.25/M input $10/M output

This model always redirects to the latest model in the Gemini Pro family.

~google/gemini-pro-latest 1.04858M context $2/M input $12/M output

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qwencloud/qwen-turbo-2024-11-01 1M context $0.05/M input $0.2/M output

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...

inclusionai/ling-3.0-flash-sante:free 262.144K context Free input Free output

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openrouter/openai/gpt-4o-mini 128K context $0.15/M input $0.6/M output

This model always redirects to the latest model in the Gemini Flash family.

~google/gemini-flash-latest 1.04858M context $0.75/M input $3.75/M output

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openrouter/google/gemini-3.8-flash 1.04858M context $0.75/M input $3.75/M output

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qwencloud/qwen-turbo 129.024K context $0.05/M input $0.2/M output

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openrouter/google/gemini-3.7-flash 1.04858M context $0.75/M input $3.75/M output

NVIDIA 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...

nvidia/nemotron-3.5-content-safety:free 128K context Free input Free output

Nex-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...

nex-agi/nex-n2-pro 262.144K context $0.25/M input $1/M output

Mistral 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...

mistralai/mistral-medium-3-5 262.144K context $1.5/M input $7.5/M output

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openrouter/google/gemini-3.6-flash 1.04858M context $0.75/M input $3.75/M output
Open weights

Granite 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...

ibm-granite/granite-4.1-8b 131.072K context $0.05/M input $0.1/M output

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qwencloud/qwen-plus-latest 997.952K context Input not listed Output not listed

Mistral 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...

mistralai/mistral-small-3.1-24b-instruct 128K context $0.351/M input $0.555/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:free 262.144K context Free input Free output

GLM-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...

z-ai/glm-5-turbo 202.752K context $1.2/M input $4/M output

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openrouter/google/gemini-3.5-flash 1.04858M context $1.5/M input $9/M output

The 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...

qwen/qwen3.5-397b-a17b 262.144K context $0.55/M input $3.5/M output

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qwencloud/qwen-plus-2025-09-11 997.952K context Input not listed Output not listed

Qwen3-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...

qwen/qwen3-coder-next 262.144K context $0.12/M input $0.8/M output

Opus 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...

anthropic/claude-opus-4.6 1M context $5/M input $25/M output

NVIDIA 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...

nvidia/nemotron-3-nano-30b-a3b:free 256K context Free input Free output

The 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...

mistralai/ministral-14b-2512 262.144K context $0.2/M input $0.2/M output

The 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...

openai/gpt-4-turbo-preview 128K context $10/M input $30/M output

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qwencloud/qwen-plus-2025-07-28 997.952K context Input not listed Output not listed

Voxtral 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...

mistralai/voxtral-small-24b-2507 32.768K context $0.1/M input $0.3/M output

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wandb/qwen/qwen3.5-35b-a3b 262.144K context $0.25/M input $1.25/M output

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novita/xiaomimimo/mimo-v2.5-pro 1.04858M context $0.522/M input $1.044/M output

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mistral/ministral-14b-latest 262.144K context $0.2/M input $0.2/M output

Qwen3-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...

qwen/qwen3-next-80b-a3b-instruct 262.144K context $0.09/M input $1.1/M output

Claude 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...

anthropic/claude-opus-4.8:batch 1M context $2.5/M input $12.5/M output

Qwen3-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...

qwen/qwen3-vl-8b-thinking 131.072K context $0.18/M input $2.1/M output

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qwencloud/qwen-plus-2025-07-14 129.024K context $0.4/M input $1.2/M output

May 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...

deepseek/deepseek-r1-0528 163.84K context $0.5/M input $2.15/M output

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qwencloud/qwen-plus-2025-04-28 129.024K context $0.4/M input $1.2/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

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wandb/qwen/qwen3.6-27b 262.144K context $0.6/M input $3.6/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

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

No provider description is available for this model yet.

qwencloud/qwen-plus-2025-01-25 129.024K context $0.4/M input $1.2/M output