No provider description is available for this model yet.

fireworks_ai/qwen3p8-max 262.144K context $2/M input $6/M output

No provider description is available for this model yet.

fireworks_ai/muse-glimmer-30b 131.072K context $0.35/M input $1.5/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

No provider description is available for this model yet.

mistral/glm-5-2 1.04858M context $1.4/M input $4.4/M output

No provider description is available for this model yet.

mistral/zai-glm-5-2 1.04858M context $1.4/M input $4.4/M output

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

qwen/qwen3.5-flash-02-23 1M context $0.065/M input $0.26/M output

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

deepseek/deepseek-chat-v3.1 163.84K context $0.25/M input $0.95/M output

No provider description is available for this model yet.

openai/chat-latest 400K context $5/M input $30/M output

No provider description is available for this model yet.

openai/daybreak-blue-latest 1.05M context $5/M input $30/M 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

No provider description is available for this model yet.

openai/daybreak-red-latest 400K context $12.5/M input $75/M output

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...

openai/gpt-oss-120b:free 131.072K context Free input Free output

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

openai/gpt-5-image-mini 400K context $2.5/M input $2/M output

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

qwen/qwen3-vl-30b-a3b-thinking 131.072K context $0.2/M input $2.4/M output

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...

openai/gpt-5.4-image-2 272K context $8/M input $15/M output

Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...

openrouter/fusion 1M context Input not listed Output not listed

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

No provider description is available for this model yet.

openai/gpt-5.6-cyber 400K context $12.5/M input $75/M output

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

google/gemma-4-26b-a4b-it:free 262.144K context Free input Free output

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...

openai/gpt-5-image 400K context $10/M input $10/M output

No provider description is available for this model yet.

azure_ai/gpt-6-astra 922K context $10/M input $50/M output

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

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

qwen/qwen-plus-2025-07-28:thinking 1M context $0.26/M input $0.78/M output

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...

openai/gpt-chat-latest 400K context $5/M input $30/M output

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

qwen/qwen3-30b-a3b-instruct-2507 262.144K context $0.09/M input $0.3/M output

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

mistralai/mistral-small-2603 262.144K context $0.15/M input $0.6/M output

Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...

stealth/ox-alpha 1.04858M context Input not listed Output not listed

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...

inclusionai/ring-2.6-1t 262.144K context $0.075/M input $0.625/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

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...

qwen/qwen3-vl-30b-a3b-instruct 262.144K context $0.15/M input $0.6/M output

No provider description is available for this model yet.

bedrock/sa-east-1/deepseek.v3.2 163.84K context $0.74/M input $2.22/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

meta/muse-spark-1.2-contributor 1.04858M context $0.1/M input $0.2/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

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

qwen/qwen3.8-max-0902 1M context $2/M input $6/M 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

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...

perplexity/sonar-pro-search 200K context $3/M input $15/M output

The Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how...

openrouter/pareto-code 2M context Input not listed Output not listed

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,...

nex-agi/nex-n2-mini 262.144K context $0.025/M input $0.1/M output

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...

openrouter/auto-beta 2M context Input not listed Output not listed

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...

qwen/qwen3-vl-8b-instruct 131.072K context $0.117/M input $0.455/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:free 262.144K context Free input Free output