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openrouter-benchmarks

Query OpenRouter's Benchmarks API for model rankings with source attribution.

209|33|Updated Jan 31, 2026
Search Tags:#api#openrouter#model selection#benchmarks#artificial analysis#design arena#model rankings
One-click install
npx skills add https://github.com/OpenRouterTeam/skills --skill openrouter-benchmarks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrouter-benchmarks
Source: https://github.com/OpenRouterTeam/skills/tree/main/skills/openrouter-benchmarks
Command: npx skills add https://github.com/OpenRouterTeam/skills --skill openrouter-benchmarks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Selecting the right AI model for your app, product, or workflow is difficult without objective, up-to-date performance data. This Skill solves that by letting you query OpenRouter's unified benchmark API for rankings from leading evaluation sources.

Core Features & Use Cases

  • Unified Benchmark Access: Query rankings from both Artificial Analysis and Design Arena through a single OpenRouter endpoint, no need to check multiple sources separately.
  • Filtered Results: Narrow rankings by task type (coding, intelligence, agentic) or Design Arena-specific categories like code generation or UI components to find models relevant to your use case.
  • Citation-Preserving Output: Get benchmark data with full source attribution, timestamps, and citation metadata for accurate reporting.
  • Availability Validation: Automatically check if top-ranked models are currently available and routable via OpenRouter before recommending them, avoiding suggestions for models that are offline or deprecated.

Quick Start

Use the openrouter-benchmarks skill to find the top 3 coding models from Artificial Analysis that are currently available on OpenRouter.

Frequently Asked Questions about openrouter-benchmarks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get AI model benchmark rankings from Artificial Analysis and Design Arena?▼

AI model benchmark rankings from Artificial Analysis and Design Arena are retrieved by querying OpenRouter's unified Benchmarks API, providing objective performance data for evidence-based model selection.

Can I filter model benchmarks by task type like coding or agentic workloads?▼

Model benchmarks can be filtered by task type, including coding, intelligence, and agentic workloads, as well as Design Arena categories like code generation, to find models suited to specific use cases.

How do I verify if a top-ranked AI model is currently available and routable?▼

Top-ranked AI model availability is validated automatically against the OpenRouter models API, ensuring recommended models are currently routable and avoiding offline or deprecated suggestions.

Does the OpenRouter Benchmarks API preserve citation metadata for reporting?▼

OpenRouter Benchmarks API output preserves source attribution, timestamps, and citation metadata, ensuring accurate benchmark data reporting for evidence-backed model selection.

What is the best way to compare AI models for coding performance using benchmark data?▼

Comparing AI models for coding performance involves querying OpenRouter's unified Benchmarks API to retrieve filtered rankings from Artificial Analysis and Design Arena, yielding evidence-based model recommendations.

Why should I use a unified benchmarks API instead of checking multiple evaluation sources separately?▼

A unified benchmarks API aggregates rankings from multiple evaluation sources like Artificial Analysis and Design Arena into a single endpoint, streamlining objective model performance comparison and selection.

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