#1
Hy3Tencent
- Source day
- 2026-07-10
- Day
- 1.1T
- 30d total
- 3.9T
OpenRouter Rankings
OpenRouter rankings: the most-used AI models
Which AI models are developers actually routing traffic through? OpenRouter publishes daily token volumes for every model on its platform. This page surfaces those rankings with honest data labels and plain-English context — no benchmark scores, no vendor claims.
Source-labeled data
Token volume by model, ranked
Each row is one model's token throughput on the most recent day in OpenRouter's live rankings (typically yesterday). The 30-day column is a real measured total across the trailing 30 days — not a single-day estimate. The source date in the table is the day the daily figures cover.
OpenRouter rankings: liveToken usage from OpenRouter's live model rankings, through 2026-07-10. Daily tokens are the source-day total; the 30-day column is a real measured total across the trailing 30 days from OpenRouter's data.Last checked 7/11/2026
| Rank | Model | Source day | Tokens/day | 30-day total (measured) |
|---|---|---|---|---|
| #1 | Hy3Tencent | 2026-07-10 | 1.1T | 3.9T |
| #2 | Mimo V2.5Xiaomi | 2026-07-10 | 921.3B | 18.5T |
| #3 | Deepseek V4 FlashDeepseek | 2026-07-10 | 735B | 21.3T |
| #4 | Minimax M3Minimax | 2026-07-10 | 594.3B | 17.6T |
| #5 | Nemotron 3 Ultra 550b A55bNvidia | 2026-07-10 | 445.3B | 4T |
| #6 | Glm 5.2Z Ai | 2026-07-10 | 403B | 8.3T |
| #7 | Deepseek V4 ProDeepseek | 2026-07-10 | 327.5B | 10.1T |
| #8 | Claude 4.8 OpusAnthropic | 2026-07-10 | 307.5B | 7.9T |
| #9 | Claude 4.7 OpusAnthropic | 2026-07-10 | 301.1B | 10.4T |
| #10 | Step 3.7 FlashStepfun | 2026-07-10 | 171.8B | 5.3T |
| #11 | Gemini 3 Flash PreviewGoogle | 2026-07-10 | 142.4B | 4T |
| #12 | Claude 4.6 SonnetAnthropic | 2026-07-10 | 141.3B | 6.3T |
#2
Mimo V2.5Xiaomi
- Source day
- 2026-07-10
- Day
- 921.3B
- 30d total
- 18.5T
#3
Deepseek V4 FlashDeepseek
- Source day
- 2026-07-10
- Day
- 735B
- 30d total
- 21.3T
#4
Minimax M3Minimax
- Source day
- 2026-07-10
- Day
- 594.3B
- 30d total
- 17.6T
#5
- Source day
- 2026-07-10
- Day
- 445.3B
- 30d total
- 4T
#6
Glm 5.2Z Ai
- Source day
- 2026-07-10
- Day
- 403B
- 30d total
- 8.3T
#7
Deepseek V4 ProDeepseek
- Source day
- 2026-07-10
- Day
- 327.5B
- 30d total
- 10.1T
#8
Claude 4.8 OpusAnthropic
- Source day
- 2026-07-10
- Day
- 307.5B
- 30d total
- 7.9T
#9
Claude 4.7 OpusAnthropic
- Source day
- 2026-07-10
- Day
- 301.1B
- 30d total
- 10.4T
#10
Step 3.7 FlashStepfun
- Source day
- 2026-07-10
- Day
- 171.8B
- 30d total
- 5.3T
#11
Gemini 3 Flash PreviewGoogle
- Source day
- 2026-07-10
- Day
- 142.4B
- 30d total
- 4T
#12
Claude 4.6 SonnetAnthropic
- Source day
- 2026-07-10
- Day
- 141.3B
- 30d total
- 6.3T
Context
What the OpenRouter rankings actually show
These rankings are a measure of revealed preference — what developers paid to route through OpenRouter on one specific day. That is a different signal from benchmark scores or vendor announcements.
Revealed preference, not capability tests
Benchmark leaderboards measure performance on standardized tasks. OpenRouter rankings measure what developers actually chose to send traffic through — at real prices, for real workloads. A model can top the OpenRouter rankings because it is cheap and fast, even if it is not the highest scorer on any capability benchmark.
Data through yesterday, updated daily
This page pulls from OpenRouter's live rankings API, which reflects the most recent complete day — typically yesterday. If a model launched today it may not appear yet; the source date in the table tells you exactly which day the figures cover.
Token share vs request count
The rankings are ordered by token volume, not request count. A model that handles long-context document work or multi-step agent tasks will generate more tokens per request than a model answering short chat messages — so token volume and request count can tell different stories about the same day.
How to read them
Token share, 30-day totals, and what the numbers mean
The table has three data columns: source day, tokens per day on that source day, and a measured 30-day total. Here is what each one tells you — and what it does not.
Source day
The specific calendar date the daily token figures cover. This is typically yesterday — OpenRouter's live rankings API reflects the most recent complete day. The source date is shown in the table so you always know exactly what day you are looking at.
Tokens per day
The total prompt plus completion tokens that model processed through OpenRouter on the source day. A cheap model can rank highly here because low price attracts high volume. A model with high per-token pricing may rank lower even if it handles high-value work, because developers send fewer tokens through expensive routes.
30-day total (measured)
The real measured total tokens across the trailing 30 days from OpenRouter's public data — not a single-day estimate multiplied out. This gives a more stable picture of sustained demand than any single day can, since individual days can spike or dip.
Why it matters
Connecting rankings to routing cost
If you are routing production AI traffic, the OpenRouter rankings are a useful sanity check on your model choices — not a prescription, but a signal about what similar developers are paying for.
High volume often means low price
Models near the top of the token-volume rankings are often there because they are priced to attract volume. If a model you have not considered is consistently in the top five, the most likely reason is that other developers found it cheap enough to route at scale. Worth checking the pricing before dismissing it.
Rank movement is the useful signal
A model moving from rank 8 to rank 2 week-over-week is more useful information than its absolute rank on any single day. It suggests a pricing change, a capability update, or a shift in what developers are building. The full leaderboard tracks these movements alongside cost data.
Rankings are not output quality
A model can rank first on token volume and still be the wrong choice for your workload. Pair any routing decision with your own quality evaluation: accepted output rate, error frequency, and latency at your usage pattern — not just what the rankings say.
Questions
Frequently asked questions
What is OpenRouter?
OpenRouter is a routing service that lets developers send AI requests to many different models through a single API. Instead of maintaining separate integrations for Anthropic, OpenAI, Google, Meta, and others, developers send requests to OpenRouter and choose which underlying model handles each one. OpenRouter publishes public usage data showing how many tokens each model processes — which is where the rankings on this page come from.
How often do the OpenRouter rankings update?
This page pulls from OpenRouter’s live rankings API, which reflects data through the most recent complete day (typically yesterday). The source date is shown in the table so you always know exactly which day you are looking at. The 30-day column is a real measured total across the trailing 30 days from OpenRouter’s public data — not a single-day estimate.
Which model is most used on OpenRouter?
The rankings table on this page shows the current answer from OpenRouter's published data. The top-ranked model changes as providers release new versions, adjust prices, and developers switch routing targets. Check the table above for the current source-day leader — it is pulled from OpenRouter's public data at build time and labeled with the exact date.
Are OpenRouter rankings the same as AI benchmarks?
No. Benchmarks test model capability on standardized tasks. OpenRouter rankings measure revealed preference: which models developers actually route real traffic through, on that source day, at whatever price those models charge. A model can top the OpenRouter rankings because it is cheap, fast, or reliable — not because it scores highest on any benchmark. The two signals are useful for different questions.
Weekly briefing
Rankings shift every week. Read the movement, not the noise.
Models trade places on OpenRouter constantly. Get the week's ranking moves and the notable receipts in your inbox.
Sources
Where this data comes from
The rankings on this page come directly from OpenRouter's public data. No adjustments, no estimates beyond the labeled run-rate column. The source-day leader as of 2026-07-10 is Hy3.
OpenRouter rankings
OpenRouter publishes model usage data on its rankings page and via a public API endpoint. This page pulls from that live API, which reflects data through the most recent complete day (typically yesterday). Daily and 30-day measured totals both come from this source.
openrouter.ai/rankingsTokenmaxxing leaderboard
The full leaderboard adds pricing, context windows, open-model momentum, and company spend data alongside the same OpenRouter usage rankings. Use it when you need more than the usage table alone.
Open the leaderboardGuide: how to read these rankings
A plain-English walkthrough of how OpenRouter token rankings work, what publish lag means, why token volume and request count differ, and how to use the data without over-reading it.
Read the guide