OpenRouter publishes language model rankings based on real usage through its API.

openrouter.ai/rankings
OpenRouter homepage screenshot

About OpenRouter

OpenRouter publishes LLM rankings based on tokens processed through its API, counting prompt and completion tokens. It shows top models, task leaders by share of spend, typical paid coding-agent session costs, domain comparisons, benchmark scores, and apps that opt into usage tracking.

The rankings cover only OpenRouter traffic, exclude requests kept private, and list model variants separately. Token totals reflect amount of use and do not measure users, spend, accuracy, or which model is best for a task.

Key features

  • Rank models by prompt and completion tokens processed
  • Filter rankings for trailing day, week, month, and trending
  • Show task leaders ranked by share of spend
  • Show typical paid coding-agent session cost by length
  • Compare models by request subject area
  • List tracked apps and agents with token totals
Best for: Developers and researchers comparing actual model usage across OpenRouter traffic.
Good for
  • Ranks models by measured tokens processed rather than votes
  • Ranking data can be reused with attribution under CC BY 4.0 and accessed as JSON
  • Publishes measurement method, including daily UTC buckets and exclusion of private requests
Watch out for
  • Covers only traffic routed through OpenRouter, not overall model use
  • Main token and request charts do not measure users or spend
  • Token totals do not indicate accuracy, reasoning ability, or best model for a task

OpenRouter at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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OpenRouter FAQ

What does OpenRouter measure for rankings?
The number of prompt and completion tokens processed through the OpenRouter API, aggregated into daily UTC buckets per model variant, excluding requests kept private.
What time periods do Today, This Week, and This Month cover?
Trailing windows of one day, seven days, and thirty days ending with the most recent complete daily bucket; Trending compares the trailing seven days with the prior seven days.
Do higher token totals mean a model is better?
No. The site states token totals show how much a model is used through OpenRouter and do not rank accuracy, reasoning ability, or which model is best for a task.
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