Guide

Open MiMo model for multimodal coding agents and long-context automation

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

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

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

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

MiMo model for long-context reasoning, perception, and agentic tasks

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

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Open MiMo model for multimodal coding agents and long-context automation

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

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

Open MiMo model for multimodal coding agents and long-context automation

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

MiMo omni model for text, image, video, audio, and agents

MiMo pro model for strong multimodal reasoning and agent execution

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

[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...

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....

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....

This model always redirects to the latest model in the Claude Opus family.

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...

Agentic model for autonomous multi-step research, synthesis, and cited reports

Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports

Image model for prompt-driven generation, editing, and visual design workflows

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Kimi K2.6 from Synthetic - text, image input, 262,144 token context

Kimi multimodal agent model for visual understanding, coding, and planning

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Image model for prompt-driven generation, editing, and visual design workflows

Kimi multimodal agent model for visual understanding, coding, and planning

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Kimi multimodal agent model for visual understanding, coding, and planning

Flagship Qwen model for complex reasoning, coding, and agentic workflows

Flagship Qwen model for complex reasoning, coding, and agentic workflows

Kimi multimodal agent model for visual understanding, coding, and planning

xAI's default Grok for chat, coding, agentic tools, and lower hallucination risk

xAI's Grok for chat, coding, agentic tools, and lower hallucination risk

Kimi reasoning model for long-horizon research, planning, and tool use

Kimi reasoning model for long-horizon research, planning, and tool use

Kimi reasoning model for long-horizon research, planning, and tool use

xAI's default Grok for chat, coding, agentic tools, and lower hallucination risk

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Grok model for agentic tool use, reasoning, coding, and live assistance

Open multimodal Qwen MoE for local agents that need vision, audio, and code

xAI's default Grok for chat, coding, agentic tools, and lower hallucination risk