🥇
deepseek-v4.1-flashdeepseek/deepseek-v4.1-flash
40.47T
份额 24.5% · 请求 761.6M
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 · 2026-10-13 00:00:00 · source=openrouter · 2026-10-14T23:26:22.983Z
热门模型用量榜 · 2026-10-13
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 165.22T
🥈
step-5-previewstepfun/step-5-preview
15.05T
份额 9.1% · 请求 78.6M
🥉
glm-5.3-flashz-ai/glm-5.3-flash
12.87T
份额 7.8% · 请求 556.3M
| # | 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 | 40.47T in 39.65T · out 825.67B | 24.5% | 761.6M | 0 | |
| 🥈 | step-5-preview stepfun/step-5-preview | standard | 15.05T in 14.97T · out 83.23B | 9.1% | 78.6M | 0 | |
| 🥉 | glm-5.3-flash z-ai/glm-5.3-flash | standard | 12.87T in 12.37T · out 498.87B | 7.8% | 556.3M | 0 | |
| 4 | mimo-v2.6-flash xiaomi/mimo-v2.6-flash | standard | 11.61T in 11.47T · out 136.17B | 7.0% | 144.5M | 0 | |
| 5 | hy4-preview tencent/hy4-preview | standard | 8.13T in 8.05T · out 75.32B | 4.9% | 74.0M | 0 | |
| 6 | nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | free | 7.38T in 7.34T · out 33.69B | 4.5% | 54.8M | 0 | |
| 7 | gpt-6-luna openai/gpt-6-luna | standard | 7.10T in 6.89T · out 213.86B | 4.3% | 360.2M | 0 | |
| 8 | claude-opus-5.5 anthropic/claude-opus-5.5 | standard | 5.64T in 5.58T · out 57.65B | 3.4% | 47.4M | 0 | |
| 9 | deepseek-v4-flash deepseek/deepseek-v4-flash | standard | 4.42T in 4.24T · out 185.31B | 2.7% | 344.9M | 0 | |
| 10 | glm-5.3 z-ai/glm-5.3 | standard | 4.18T in 4.12T · out 60.83B | 2.5% | 71.8M | 0 | |
| 11 | jev-1.13 typesafe/jev-1.13 | standard | 3.28T in 3.01T · out 263.40B | 2.0% | 1.06B | 0 | |
| 12 | deepseek-v4-flash deepseek/deepseek-v4-flash | standard | 3.17T in 2.95T · out 227.33B | 1.9% | 348.9M | 0 | |
| 13 | hy3 tencent/hy3 | standard | 3.01T in 2.96T · out 48.65B | 1.8% | 38.8M | 0 | |
| 14 | muse-spark-1.3-contributor meta/muse-spark-1.3-contributor | standard | 2.79T in 2.75T · out 37.58B | 1.7% | 40.2M | 0 | |
| 15 | claude-sonnet-5.5 anthropic/claude-sonnet-5.5 | standard | 2.66T in 2.62T · out 35.80B | 1.6% | 34.6M | 0 | |
| 16 | kimi-k3 moonshotai/kimi-k3 | standard | 2.52T in 2.47T · out 45.43B | 1.5% | 37.5M | 0 | |
| 17 | gpt-6.1-sol openai/gpt-6.1-sol | standard | 2.32T in 2.28T · out 38.84B | 1.4% | 52.1M | 0 | |
| 18 | gemini-3.8-flash google/gemini-3.8-flash | standard | 2.00T in 1.93T · out 74.14B | 1.2% | 83.3M | 0 | |
| 19 | gpt-5.6-luna openai/gpt-5.6-luna | standard | 1.79T in 1.74T · out 53.32B | 1.1% | 143.5M | 0 | |
| 20 | claude-haiku-5.5 anthropic/claude-haiku-5.5 | standard | 1.72T in 1.63T · out 87.40B | 1.0% | 85.8M | 0 | |
| 21 | mimo-v2.6-pro xiaomi/mimo-v2.6-pro | standard | 1.50T in 1.45T · out 56.38B | 0.9% | 32.0M | 0 | |
| 22 | glm-5.2 z-ai/glm-5.2 | standard | 1.40T in 1.36T · out 37.74B | 0.8% | 55.4M | 0 | |
| 23 | minimax-m3 minimax/minimax-m3 | standard | 1.37T in 1.35T · out 20.49B | 0.8% | 25.1M | 0 | |
| 24 | deepseek-v4-pro deepseek/deepseek-v4-pro | standard | 1.20T in 1.18T · out 22.63B | 0.7% | 57.1M | 0 | |
| 25 | nemotron-3.5-lightning nvidia/nemotron-3.5-lightning | free | 1.12T in 1.10T · out 12.52B | 0.7% | 18.7M | 0 | |
| 26 | gemini-3-flash-preview google/gemini-3-flash-preview | standard | 1.09T in 1.06T · out 33.41B | 0.7% | 82.5M | 0 | |
| 27 | laguna-s-2.1 poolside/laguna-s-2.1 | free | 1.03T in 1.02T · out 10.41B | 0.6% | 13.2M | 0 | |
| 28 | solar-mini4 upstage/solar-mini4 | standard | 1.03T in 1.02T · out 10.19B | 0.6% | 12.0M | 0 | |
| 29 | solar-pro4 upstage/solar-pro4 | standard | 972.21B in 967.54B · out 4.67B | 0.6% | 10.6M | 0 | |
| 30 | gpt-5.6-sol openai/gpt-5.6-sol | standard | 944.88B in 928.33B · out 16.55B | 0.6% | 24.3M | 0 | |
| 31 | claude-opus-5 anthropic/claude-opus-5 | standard | 807.83B in 798.51B · out 9.32B | 0.5% | 10.1M | 0 | |
| 32 | dots-3-note-preview dots-studio/dots-3-note-preview | free | 784.24B in 764.47B · out 19.78B | 0.5% | 15.2M | 0 | |
| 33 | claude-sonnet-5 anthropic/claude-sonnet-5 | standard | 722.91B in 701.54B · out 21.37B | 0.4% | 18.7M | 0 | |
| 34 | gpt-6-sol openai/gpt-6-sol | standard | 707.65B in 702.47B · out 5.18B | 0.4% | 14.2M | 0 | |
| 35 | deepseek-v4-pro deepseek/deepseek-v4-pro | standard | 706.72B in 682.91B · out 23.81B | 0.4% | 26.9M | 0 | |
| 36 | ling-3.1-flash inclusionai/ling-3.1-flash | standard | 664.31B in 612.28B · out 52.03B | 0.4% | 15.0M | 0 | |
| 37 | grok-4.7 x-ai/grok-4.7 | standard | 644.32B in 632.79B · out 11.53B | 0.4% | 8.6M | 0 | |
| 38 | nemotron-3-super-120b-a12b nvidia/nemotron-3-super-120b-a12b | free | 632.57B in 613.87B · out 18.70B | 0.4% | 16.8M | 0 | |
| 39 | gemini-2.5-flash-lite google/gemini-2.5-flash-lite | standard | 600.58B in 549.78B · out 50.80B | 0.4% | 269.1M | 0 | |
| 40 | muse-spark-1.3 meta/muse-spark-1.3 | standard | 554.27B in 541.91B · out 12.36B | 0.3% | 11.4M | 0 | |
| 41 | gpt-6-astra openai/gpt-6-astra | standard | 551.79B in 546.15B · out 5.65B | 0.3% | 9.4M | 0 | |
| 42 | mimo-v2.5 xiaomi/mimo-v2.5 | standard | 534.33B in 524.82B · out 9.51B | 0.3% | 12.3M | 0 | |
| 43 | gpt-oss-120b openai/gpt-oss-120b | standard | 484.45B in 415.48B · out 68.97B | 0.3% | 136.5M | 0 | |
| 44 | qwen3.8-flash qwen/qwen3.8-flash | standard | 484.02B in 447.91B · out 36.11B | 0.3% | 21.0M | 0 | |
| 45 | gemma-4-31b-it google/gemma-4-31b-it | standard | 481.58B in 434.73B · out 46.85B | 0.3% | 175.1M | 0 | |
| 46 | gemini-3.1-flash-lite google/gemini-3.1-flash-lite | standard | 462.12B in 434.90B · out 27.21B | 0.3% | 116.6M | 0 | |
| 47 | qwen3.8-27b qwen/qwen3.8-27b | standard | 419.81B in 401.74B · out 18.07B | 0.3% | 22.8M | 0 | |
| 48 | gemini-2.5-flash google/gemini-2.5-flash | standard | 406.64B in 379.77B · out 26.87B | 0.2% | 104.0M | 0 | |
| 49 | gemini-3.7-flash google/gemini-3.7-flash | standard | 392.71B in 358.84B · out 33.87B | 0.2% | 32.5M | 0 | |
| 50 | gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | standard | 391.75B in 368.34B · out 23.42B | 0.2% | 119.2M | 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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