AI model rankings: the most used LLMs
Live · updated every 5 minData through Nov 14, 05:10 UTC
Real tokens served through One AI API Key. Ranked by usage, not quality.
Free right now (100 requests a day per account, no card): qwen3.8-27b:free, qwen3.8-27b-1:free, stepaudio-3-chat-preview:free
Tokens per day, by model
Last 7 days, UTC days
Hover, tap or drag across any day, or focus the chart and use the arrow keys, to see how every model did that day.
Last 7 days, rolling · to 05:10 UTC
- Tokens
- 1.1B
- 26.5K requests
- Models ranked
- 28
- top 3 hold 58.2%
- Open-weight share
- 66.4%
- closed: Claude, GPT, Gemini, Grok, Muse
- People
- 503
- avg 2.3M tokens each
Most used modelsLast 7 days
Movers · last 24 hours
Rows are focusable: press Enter for the model's details, or C to add it to the comparison of up to three models.
Tokens · share of the window
- 1qwen3.8-max-1:free141 peopleHot271M tokens23.6%
- 2188 peopleHot208M tokens18.1%
- 3by anthropic222 peopleHot189M tokens16.4%
- 4by anthropic151 people105M tokens9.2%
- 5by z.ai99 peopleSpike56.4M tokens4.9%
- 6gpt-6-sol:free55 people44.2M tokens3.8%
- 742 people36.3M tokens3.2%
- 8deepseek-v4-flash-0731:free30 people34.2M tokens3%
- 9qwen3.8-27b-abliterated-cyber:free31 people27M tokens2.3%
- 10by anthropic104 people24.7M tokens2.2%
- 1157 people19.5M tokens1.7%
- 1240 people16.5M tokens1.4%
- 13by moonshot ai39 people11.3M tokens1%
- 14by z.ai42 peopleSpike9.9M tokens0.9%
- 15qwen3.8-27b-abliterated-cyber11 people8.1M tokens0.7%
- 16uncens-code-glm-5.3-flashby unfiltered18 people5.2M tokens0.4%
- 17uncens-code-proby unfiltered16 people3.5M tokens0.3%
- 18glm-5.2:free13 people3.5M tokens0.3%
- 19uncens-code-glm-5.3-flash:freeby unfiltered20 people3.1M tokens0.3%
- 20claude-fable-5.2:free12 people2.5M tokens0.2%
Nothing to rank in this window.
How it works
Quality or popularity?
Popularity. Models are ranked by the tokens they served on this gateway, not by how good they are.
How fresh is the data?
Updated every 5 minutes at the latest, and usually within seconds of a request finishing, straight from the gateway logs. The stamp at the top shows the instant the numbers are exact for. In a quiet spell with no new request the figures do not change, so the stamp stays and the line under the title says when the numbers were last checked again.
Can a model pay to rank higher?
No. Rank follows the numbers only. Nothing is sold, boosted or placed by hand.
Which version is a row?
The exact API id, in lowercase, as customers send it. x and x:free are separate rows, and so are claude-opus-5-5 and claude-opus-5.5.
Counted
Exact counts, never estimates: successful requests as the gateway logged them, by exact id. Tokens are input + output (plus cache reads and writes for Anthropic-style calls). A request counts when it finishes. Every account counts, deleted ones too. An account using two ids counts once under each. Search, fetch and code-run calls are in the totals, not in rows.
Ranking bar
A model gets its own row from 100K tokens in the window, judged for each window on its own. Smaller models stay in the totals and in the "other" row. Totals only: no ids, keys or prompts.
Windows
The totals and the list use rolling windows (24 hours, 7 days, 30 days), counted to the second up to the last update. The chart’s bars are UTC calendar days, and today’s bar is 00:00 UTC to the last update, so “last 24 hours” and “today” are different numbers. From 30 Oct 2026.
Speed
Output tokens per second, request-weighted, over requests of 1s or more. It includes time to first token, so reasoning models read low. Needs 5 timed requests.
Spike and Hot
Spike: new, or added 250K tokens (1M in longer windows) and grew 50%+ against the period before. Hot: top 3 by tokens in the window.