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deepseek-v4.1-flashdeepseek/deepseek-v4.1-flash
48.08T
份额 26.6% · 请求 770.6M
热门模型用量榜
按当日总 Tokens（输入+输出）降序；份额=该模型占当日榜内总量。反映路由平台流量，≠全球份额。 对标 openrouter.ai/rankings。能力验真 → 模型天梯 · 模型目录 · Providers · 实验室 · 官方 API。
数据状态
OpenRouter 用量榜 · 2026-11-01 00:00:00 · source=openrouter · 2026-11-02T10:08:15.798Z
热门模型用量榜 · 2026-11-01
按当日总 Tokens（输入+输出）降序；份额=该模型占当日榜内总量。反映路由平台流量，≠全球份额。
Top 50总量 181.07T
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glm-5.3-flashz-ai/glm-5.3-flash
15.01T
份额 8.3% · 请求 699.6M
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deepseek-v4.1-flashdeepseek/deepseek-v4.1-flash
14.87T
份额 8.2% · 请求 473.0M
| # | 模型 | 变体 | Tokens | 份额 | 相对热度 | 请求 | 工具调用 |
|---|---|---|---|---|---|---|---|
| 🥇 | deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | standard | 48.08T in 47.44T · out 646.73B | 26.6% | 770.6M | 0 | |
| 🥈 | glm-5.3-flash z-ai/glm-5.3-flash | standard | 15.01T in 14.47T · out 532.49B | 8.3% | 699.6M | 0 | |
| 🥉 | deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | standard | 14.87T in 14.56T · out 310.70B | 8.2% | 473.0M | 0 | |
| 4 | gpt-6-luna openai/gpt-6-luna | standard | 9.62T in 9.35T · out 262.71B | 5.3% | 523.0M | 0 | |
| 5 | hy4-preview tencent/hy4-preview | standard | 9.07T in 8.98T · out 86.76B | 5.0% | 88.0M | 0 | |
| 6 | claude-opus-5.5 anthropic/claude-opus-5.5 | standard | 6.73T in 6.67T · out 60.15B | 3.7% | 57.3M | 0 | |
| 7 | step-5-preview stepfun/step-5-preview | standard | 6.25T in 6.22T · out 28.89B | 3.5% | 24.3M | 0 | |
| 8 | minimax-m3.1-flash minimax/minimax-m3.1-flash | standard | 6.23T in 6.14T · out 90.55B | 3.4% | 69.4M | 0 | |
| 9 | gpt-5.6-luna openai/gpt-5.6-luna | standard | 4.33T in 4.23T · out 95.49B | 2.4% | 176.4M | 0 | |
| 10 | glm-5.3 z-ai/glm-5.3 | standard | 4.23T in 4.16T · out 66.12B | 2.3% | 66.5M | 0 | |
| 11 | deepseek-v4-flash deepseek/deepseek-v4-flash | standard | 3.94T in 3.77T · out 172.99B | 2.2% | 329.7M | 0 | |
| 12 | gpt-6.1-sol openai/gpt-6.1-sol | standard | 3.75T in 3.69T · out 57.60B | 2.1% | 105.2M | 0 | |
| 13 | jev-1.13 typesafe/jev-1.13 | standard | 3.14T in 2.91T · out 224.54B | 1.7% | 991.1M | 0 | |
| 14 | hy3 tencent/hy3 | standard | 3.07T in 3.02T · out 49.81B | 1.7% | 38.5M | 0 | |
| 15 | mimo-v2.6-flash xiaomi/mimo-v2.6-flash | standard | 3.02T in 2.97T · out 42.72B | 1.7% | 58.1M | 0 | |
| 16 | nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | free | 2.99T in 2.96T · out 30.99B | 1.7% | 32.4M | 0 | |
| 17 | claude-haiku-5.5 anthropic/claude-haiku-5.5 | standard | 2.79T in 2.66T · out 134.47B | 1.5% | 183.7M | 0 | |
| 18 | deepseek-v4-flash deepseek/deepseek-v4-flash | standard | 2.69T in 2.53T · out 158.18B | 1.5% | 338.3M | 0 | |
| 19 | claude-sonnet-5.5 anthropic/claude-sonnet-5.5 | standard | 2.60T in 2.54T · out 54.90B | 1.4% | 52.6M | 0 | |
| 20 | muse-spark-1.3-contributor meta/muse-spark-1.3-contributor | standard | 2.59T in 2.56T · out 34.96B | 1.4% | 35.8M | 0 | |
| 21 | nemotron-3.5-super-vl nvidia/nemotron-3.5-super-vl | free | 2.37T in 2.34T · out 28.12B | 1.3% | 21.4M | 0 | |
| 22 | kimi-k3.1-pro moonshotai/kimi-k3.1-pro | standard | 2.29T in 2.27T · out 19.74B | 1.3% | 18.5M | 0 | |
| 23 | jev-1.14 typesafe/jev-1.14 | standard | 1.74T in 1.59T · out 150.62B | 1.0% | 474.0M | 0 | |
| 24 | kimi-k3 moonshotai/kimi-k3 | standard | 1.71T in 1.68T · out 25.84B | 0.9% | 33.3M | 0 | |
| 25 | gemini-3.8-flash google/gemini-3.8-flash | standard | 1.52T in 1.45T · out 70.64B | 0.8% | 83.7M | 0 | |
| 26 | solar-mini4 upstage/solar-mini4 | standard | 1.39T in 1.37T · out 12.52B | 0.8% | 13.7M | 0 | |
| 27 | mimo-v2.6-pro xiaomi/mimo-v2.6-pro | standard | 1.30T in 1.28T · out 23.28B | 0.7% | 19.1M | 0 | |
| 28 | gemini-4-argon google/gemini-4-argon | standard | 1.16T in 1.13T · out 28.68B | 0.6% | 24.1M | 0 | |
| 29 | nemotron-3.5-lightning nvidia/nemotron-3.5-lightning | free | 989.15B in 976.94B · out 12.21B | 0.5% | 14.0M | 0 | |
| 30 | glm-5.2 z-ai/glm-5.2 | standard | 920.79B in 893.39B · out 27.40B | 0.5% | 31.3M | 0 | |
| 31 | deepseek-v4-pro deepseek/deepseek-v4-pro | standard | 794.29B in 769.02B · out 25.27B | 0.4% | 44.8M | 0 | |
| 32 | dots-3-note-preview dots-studio/dots-3-note-preview | free | 731.19B in 713.14B · out 18.04B | 0.4% | 14.8M | 0 | |
| 33 | gpt-6.1-terra openai/gpt-6.1-terra | standard | 645.20B in 638.79B · out 6.42B | 0.4% | 13.5M | 0 | |
| 34 | gemini-3-flash-preview google/gemini-3-flash-preview | standard | 620.29B in 592.38B · out 27.91B | 0.3% | 71.2M | 0 | |
| 35 | gemini-3.1-flash-lite google/gemini-3.1-flash-lite | standard | 616.15B in 580.69B · out 35.46B | 0.3% | 146.8M | 0 | |
| 36 | minimax-m3 minimax/minimax-m3 | standard | 612.17B in 597.95B · out 14.22B | 0.3% | 9.9M | 0 | |
| 37 | gpt-6-luna-pro openai/gpt-6-luna-pro | standard | 606.60B in 583.52B · out 23.07B | 0.3% | 9.4M | 0 | |
| 38 | qwen3.8-flash qwen/qwen3.8-flash | standard | 600.12B in 568.93B · out 31.19B | 0.3% | 21.0M | 0 | |
| 39 | qwen3.8-27b qwen/qwen3.8-27b | standard | 598.37B in 572.22B · out 26.15B | 0.3% | 37.1M | 0 | |
| 40 | deepseek-v4-pro deepseek/deepseek-v4-pro | standard | 573.13B in 554.85B · out 18.28B | 0.3% | 23.1M | 0 | |
| 41 | claude-sonnet-5 anthropic/claude-sonnet-5 | standard | 516.56B in 507.80B · out 8.77B | 0.3% | 12.8M | 0 | |
| 42 | step-3.7-flash stepfun/step-3.7-flash | standard | 499.87B in 492.64B · out 7.23B | 0.3% | 7.0M | 0 | |
| 43 | gemma-4-31b-it google/gemma-4-31b-it | standard | 494.10B in 461.27B · out 32.83B | 0.3% | 101.0M | 0 | |
| 44 | gpt-6-astra openai/gpt-6-astra | standard | 444.57B in 438.05B · out 6.52B | 0.2% | 15.0M | 0 | |
| 45 | qwen3.7-flash qwen/qwen3.7-flash | standard | 441.53B in 404.97B · out 36.56B | 0.2% | 138.0M | 0 | |
| 46 | solar-pro4 upstage/solar-pro4 | standard | 396.83B in 394.03B · out 2.79B | 0.2% | 5.3M | 0 | |
| 47 | gemini-3.7-flash google/gemini-3.7-flash | standard | 393.44B in 367.31B · out 26.13B | 0.2% | 26.5M | 0 | |
| 48 | gpt-oss-120b openai/gpt-oss-120b | standard | 385.09B in 336.25B · out 48.84B | 0.2% | 94.4M | 0 | |
| 49 | inkling thinkingmachines/inkling | free | 371.01B in 364.15B · out 6.87B | 0.2% | 5.1M | 0 | |
| 50 | gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | standard | 368.18B in 342.03B · out 26.15B | 0.2% | 131.8M | 0 |
数据来源 OpenRouter 公开 Rankings API（约小时级缓存）。用量/份额反映路由平台流量，不等于全球真实份额； 智力指数来自 Artificial Analysis 透出字段。选型请结合 天梯、目录与自有压测。
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