LifeArchitect publishes a reference table of language models and their specifications and data points.
OpenRouter
OpenRouter publishes language model rankings based on real usage through its API.

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
- 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
- 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
- Website
- openrouter.ai/rankings
- Category
- AI & Machine Learning › AI Data & Analytics
- 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?
What time periods do Today, This Week, and This Month cover?
Do higher token totals mean a model is better?
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