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Query OpenRouter models for pricing, context, capabilities, and rankings.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openrouter-mcp" yet — see the docs or source repo.
Use compare-models to compare OpenAI GPT-4o and Anthropic Claude 3.5 Sonnet on pricing, context length, and capability differences.
A side-by-side comparison of key model details to support selection.
Use cheapest-for to find the lowest-cost OpenRouter model suitable for long-context tasks.
A recommendation of low-cost matching models with relevant pricing details.
Use cost-estimator to estimate the cost of a request with 10,000 input tokens and 2,000 output tokens.
An estimated cost for the specified request.
Developers or product managers can quickly compare model pricing, context length, and capabilities before integration, reducing evaluation time.
Teams planning AI feature costs can use cost estimation and cheapest-model queries to understand budget impact and control spending.
Researchers or developers can use usage rankings to inspect model popularity and activity on OpenRouter for research and decision-making.
It lets AI assistants query OpenRouter’s public API for information on 300+ models, including pricing, context length, capabilities, and rankings. It also provides tools for model comparison, cheapest-model lookup, and cost estimation.
Based on the description, it uses a public key-less API, so no API key is required. The returned data is cached for 6 hours.
It can query model pricing, context length, capabilities, and usage rankings, and supports tools such as model-card, compare-models, cheapest-for, and cost-estimator. For more detailed fields, see the source repository.
Access OpenRouter models to use multiple LLMs for development and research.
Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.
Chat, generate images, and analyze visuals with OpenRouter multimodal models.
Generate, edit, and batch-process images through OpenRouter using multiple models.
Discover AI models, pricing, and chat completions through RouterBase.
Use OpenRouter-backed subagents for model-agnostic multi-model fusion and orchestration.