AI Model Rankings
View LLM rankings by raw token volume. Models are ranked by tokens processed through the upstream gateway, by prompt and completion tokens. 版式复刻自 openrouter.ai/rankings。
Usage data through —
Top Models
Weekly token volume of top models across OpenRouter.
LLM Leaderboard
Compare the most popular models on OpenRouter.
Top models by task
Each task's ranking models, weighted by share of spend on OpenRouter.
Cost per session
What one coding-agent session typically costs (paid usage), by session length.
Market Share
Compare text request share by model author.
Benchmarks
Top models by Artificial Analysis Intelligence Index · 外部数据：Artificial Analysis · View all benchmarks ↗
Fastest models
Median output throughput (tokens/s) and latency across providers · request-weighted.
Languages
Token share by natural language of prompts.
Programming
Token share by programming language in prompts.
Context Length
Token share by prompt context length bucket.
Tool Calls
Models ranked by tool calls processed.
Images
Models ranked by image generation requests.
Top Apps
Most active applications on OpenRouter, split into usage tracking by category.
How these rankings are measured
What is measured
Each model is ranked by the number of tokens it processed through the OpenRouter API, counting both prompt and completion tokens. Usage is aggregated into daily buckets in UTC and totalled per model variant, so variants of the same model, such as a free variant, are ranked separately. Requests that a user or app keeps private are excluded before aggregation.
Selection period
Today, This Week, and This Month each cover a trailing window of one day, seven days, and thirty days, ending with the most recent complete daily bucket. Trending compares the trailing seven days with the seven days before it and ranks models by the percentage change in tokens, including only models with at least one million tokens in the current window so that a small base cannot produce a large percentage. New models with no prior week are listed first, up to five of them.
Freshness
The date above the rankings is the newest usage bucket the leaderboard is computed from, not the time the page was rendered or deployed, so it advances only when new usage data is aggregated.
How to read these rankings
These rankings show traffic routed through OpenRouter. The Top Models chart and the LLM Leaderboard rank models by tokens processed, while the Market Share chart counts requests. None of them measures users or spend. Models differ in verbosity and tokenization, so a higher token total shows how much a model is used, not which model is best for a task. They do not rank models by accuracy, reasoning ability, or benchmark performance. The Benchmarks section ranks those using scores from Artificial Analysis and Design Arena, plus benchmarks such as GPQA Diamond that OpenRouter runs itself and reports as median accuracy across providers.
The Top Models chart names the nine most-used models in each period and groups the rest as Others. The Market Share chart shows each model author's share of text requests on OpenRouter, with the remaining authors grouped as Others. Rankings data by OpenRouter is licensed under CC BY 4.0. Reuse and republish it with attribution.