Compare AI models

Open Llama with long-context vision for efficient multimodal agents

Open multimodal Llama for strong reasoning with efficient everyday serving

Smaller Qwen coder for efficient local agents and repo-level fixes

Dense open Qwen model for self-hosted chat, reasoning, and coding

Large open Qwen MoE for multilingual reasoning, coding, and tool use

Open Qwen coding heavyweight for repository reasoning and agentic engineering

O-series reasoning model for hard analysis, math, coding, and planning

Mistral reasoning model for transparent analysis, math, and complex decisions

Cohere command model for multilingual enterprise agents, tools, and chat

Qwen reasoning model for deliberate problem solving, math, and coding

Open Command R model optimized for Arabic enterprise chat, RAG, and cultural knowledge

Balanced Claude model for coding, analysis, agent workflows, and cost control

Classic open reasoning model for transparent math, coding, and deliberate problem solving

Smaller o-series reasoner for economical coding, math, and planning tasks

Earlier Gemini Flash workhorse for responsive multimodal apps and tool use

Low-latency Gemini model for high-volume multimodal and agent workloads

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

O-series reasoning model for hard analysis, math, coding, and planning

Cohere retrieval model for long-context chat and enterprise RAG workflows

GPT model for general reasoning, writing, coding, and tool-assisted tasks

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Flagship Mistral model for advanced reasoning, coding, and multilingual work

Mistral's larger vision model for document-heavy image understanding and chat

Mistral's largest general model for enterprise agents, coding, and multilingual reasoning

Efficient Qwen model for fast chat, extraction, and high-volume workloads

Open multilingual model optimized for generation across 23 languages

Fast Claude model for responsive assistance, classification, and lightweight agents

Balanced Claude model for coding, analysis, agent workflows, and cost control

Mistral vision-language model for image understanding and multimodal chat

Qwen vision-language model for visual reasoning, documents, and agent tasks

Cohere retrieval model for long-context chat and enterprise RAG workflows

Cohere's RAG workhorse for long-context enterprise search and tool use

Compact Nemotron model for efficient reasoning and deployable AI agents

GPT model for general reasoning, writing, coding, and tool-assisted tasks

Small omni GPT for cheap multimodal assistance and production-scale traffic

Efficient Mistral-NVIDIA open model for multilingual chat and local deployment

Research model for long-horizon investigation, synthesis, and analytical reports

Research model for long-horizon investigation, synthesis, and analytical reports

Mistral code model for completions, refactors, and developer IDE workflows

GPT model for general reasoning, writing, coding, and tool-assisted tasks

Omni-era GPT for multimodal chat, practical coding, and general assistants

Qwen vision-language model for visual reasoning, documents, and agent tasks

Legacy model retained for compatibility with older integrations

Qwen instruction model for multilingual chat, reasoning, and tool use

Qwen vision-language model for visual reasoning, documents, and agent tasks

Web-grounded Sonar for multi-step research questions that need cited reasoning

Deeper Sonar search model with broader retrieval and stronger synthesis

Fast web-grounded Sonar for current answers, citations, and lightweight retrieval

Compact GPT model for low-latency assistance and high-volume workloads

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