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Rankings data by OpenRouter is licensed under CC BY 4.0. Reuse and republish it with attribution. The Data API docs cover the citation format and JSON access to these datasets.

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Top ModelsLeaderboardTop models by taskCost per sessionMarket ShareBenchmarksFastest modelsLanguagesProgrammingContext LengthTool CallsImagesTop Apps

AI Model Rankings

Live LLM rankings by real-world usage. Models are ranked by tokens processed through the OpenRouter API by millions of developers. View all text models

Usage data through Aug 17, 2026

Top Models

Weekly usage of models across OpenRouter

Top models by task

Each task’s leading models, ranked by share of spend on OpenRouter

Cost per session

What one coding-agent session typically costs (paid usage), by session length

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.

What these rankings do not establish

These rankings measure adoption, not quality. They do not rank models by accuracy, reasoning ability, or benchmark performance, which are reported separately in the Benchmarks section of this page. They describe traffic routed through OpenRouter, not the whole market and not usage on a model provider's own API. Token volume is also not a count of requests, users, or spend, and models differ in verbosity and tokenization, so a higher token total does not by itself mean a model is preferred for a given task. The Top Models chart groups models outside the top ten into an Others series, and the Market Share chart does the same with model authors rather than individual models.

Rankings data by OpenRouter is licensed under CC BY 4.0. Reuse and republish it with attribution. The Data API docs cover the citation format and JSON access to these datasets.

Model rankings by tokens processed
RankModeltokens processed
1.
Favicon for deepseek
DeepSeek V4 Flash 0731
by deepseek
11.3T tokens
20%
2.
Favicon for tencent
Hy3
by tencent
9.7T tokens
9%
3.
Favicon for openai
GPT-5.6 Luna
by openai
5.57T tokens
19%
4.
Favicon for xiaomi
MiMo-V2.5
by xiaomi
4.99T tokens
6%
5.
Favicon for deepseek
DeepSeek V4 Flash 0423
by deepseek
4.77T tokens
17%
Model rankings by tokens processed
RankModeltokens processed
6.
Favicon for z-ai
GLM 5.2
by z-ai
4.41T tokens
21%
7.
Favicon for google
Gemini 3.6 Flash
by google
2.77T tokens
19%
8.
Favicon for anthropic
Claude Opus 5
by anthropic
2.7T tokens
98%
9.
Favicon for deepseek
DeepSeek V4 Pro 0423
by deepseek
2.66T tokens
3%
10.
Favicon for nvidia
Nemotron 3 Ultra (free)
by nvidia
2.39T tokens
1%

Market Share

Compare text request share by model author on OpenRouter.

Tool Calls

Tool usage across models on OpenRouter

Images

Total images processed on OpenRouter