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mimo-v2.5xiaomi/mimo-v2.5
8.09T
份额 15.4% · 请求 116.9M
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。
OpenRouter 用量榜 · 2026-07-31 00:00:00 · source=openrouter · 2026-08-01T17:22:14.428Z
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。
| # | 模型 | 变体 | Tokens | 份额 | 相对热度 | 请求 | 工具调用 |
|---|---|---|---|---|---|---|---|
| 🥇 | mimo-v2.5 xiaomi/mimo-v2.5 | standard | 8.09T in 8.03T · out 68.41B | 15.4% | 116.9M | 0 | |
| 🥈 | deepseek-v4-flash deepseek/deepseek-v4-flash | standard | 7.56T in 7.06T · out 501.13B | 14.4% | 705.3M | 0 | |
| 🥉 | hy3 tencent/hy3 | standard | 4.80T in 4.73T · out 73.11B | 9.1% | 60.6M | 0 | |
| 4 | deepseek-v4-pro deepseek/deepseek-v4-pro | standard | 3.60T in 3.47T · out 131.01B | 6.9% | 118.7M | 0 | |
| 5 | glm-5.2 z-ai/glm-5.2 | standard | 3.06T in 2.99T · out 65.68B | 5.8% | 73.0M | 0 | |
| 6 | nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | free | 2.58T in 2.57T · out 17.36B | 4.9% | 25.9M | 0 | |
| 7 | minimax-m3 minimax/minimax-m3 | standard | 2.03T in 2.00T · out 31.30B | 3.9% | 37.1M | 0 | |
| 8 | step-3.7-flash stepfun/step-3.7-flash | standard | 1.70T in 1.68T · out 17.99B | 3.2% | 25.5M | 0 | |
| 9 | kimi-k3 moonshotai/kimi-k3 | standard | 1.38T in 1.36T · out 17.23B | 2.6% | 19.2M | 0 | |
| 10 | ling-3.0-flash inclusionai/ling-3.0-flash | free | 1.35T in 1.32T · out 28.36B | 2.6% | 17.8M | 0 | |
| 11 | claude-sonnet-5 anthropic/claude-sonnet-5 | standard | 1.02T in 1.00T · out 15.94B | 1.9% | 19.2M | 0 | |
| 12 | gemini-3-flash-preview google/gemini-3-flash-preview | standard | 981.99B in 938.43B · out 43.56B | 1.9% | 116.7M | 0 | |
| 13 | claude-4.6-sonnet anthropic/claude-4.6-sonnet | standard | 976.01B in 954.33B · out 21.68B | 1.9% | 37.4M | 0 | |
| 14 | claude-opus-5 anthropic/claude-opus-5 | standard | 927.46B in 914.98B · out 12.48B | 1.8% | 11.6M | 0 | |
| 15 | gpt-5.6-luna openai/gpt-5.6-luna | standard | 834.87B in 816.82B · out 18.05B | 1.6% | 56.3M | 0 | |
| 16 | gemini-2.5-flash-lite google/gemini-2.5-flash-lite | standard | 668.06B in 613.97B · out 54.09B | 1.3% | 259.9M | 0 | |
| 17 | mimo-v2.5-pro xiaomi/mimo-v2.5-pro | standard | 634.62B in 627.16B · out 7.46B | 1.2% | 11.1M | 0 | |
| 18 | claude-4.8-opus anthropic/claude-4.8-opus | standard | 594.50B in 585.19B · out 9.31B | 1.1% | 10.7M | 0 | |
| 19 | gemini-2.5-flash google/gemini-2.5-flash | standard | 574.70B in 528.04B · out 46.66B | 1.1% | 163.0M | 0 | |
| 20 | gemini-3.1-flash-lite google/gemini-3.1-flash-lite | standard | 572.79B in 543.27B · out 29.52B | 1.1% | 115.0M | 0 | |
| 21 | laguna-s-2.1 poolside/laguna-s-2.1 | free | 539.74B in 536.10B · out 3.64B | 1.0% | 6.2M | 0 | |
| 22 | gpt-oss-120b openai/gpt-oss-120b | standard | 521.02B in 446.75B · out 74.27B | 1.0% | 122.3M | 0 | |
| 23 | gpt-5.6-sol openai/gpt-5.6-sol | standard | 447.37B in 441.44B · out 5.93B | 0.9% | 9.7M | 0 | |
| 24 | grok-4.5 x-ai/grok-4.5 | standard | 421.70B in 414.19B · out 7.51B | 0.8% | 8.8M | 0 | |
| 25 | gemini-3.6-flash google/gemini-3.6-flash | standard | 401.80B in 385.93B · out 15.88B | 0.8% | 20.6M | 0 | |
| 26 | deepseek-v3.2 deepseek/deepseek-v3.2 | standard | 401.56B in 384.78B · out 16.78B | 0.8% | 53.1M | 0 | |
| 27 | gemma-4-31b-it google/gemma-4-31b-it | standard | 389.22B in 361.74B · out 27.48B | 0.7% | 74.7M | 0 | |
| 28 | gpt-5.6-terra openai/gpt-5.6-terra | standard | 380.84B in 376.58B · out 4.25B | 0.7% | 8.9M | 0 | |
| 29 | pplx-embed-v1-0.6B perplexity/pplx-embed-v1-0.6B | standard | 371.76B in 371.76B · out 0 | 0.7% | 27.7M | 0 | |
| 30 | gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | standard | 356.43B in 336.15B · out 20.28B | 0.7% | 82.8M | 0 | |
| 31 | nemotron-3-super-120b-a12b nvidia/nemotron-3-super-120b-a12b | free | 345.67B in 335.23B · out 10.43B | 0.7% | 9.3M | 0 | |
| 32 | gpt-5.4 openai/gpt-5.4 | standard | 307.64B in 301.48B · out 6.16B | 0.6% | 13.8M | 0 | |
| 33 | north-mini-code cohere/north-mini-code | free | 285.91B in 267.01B · out 18.90B | 0.5% | 7.1M | 0 | |
| 34 | gemini-3.5-flash-lite google/gemini-3.5-flash-lite | standard | 276.30B in 268.85B · out 7.45B | 0.5% | 24.2M | 0 | |
| 35 | gemini-3.5-flash google/gemini-3.5-flash | standard | 236.18B in 219.15B · out 17.03B | 0.4% | 21.5M | 0 | |
| 36 | claude-4.5-haiku anthropic/claude-4.5-haiku | standard | 230.83B in 222.19B · out 8.64B | 0.4% | 33.7M | 0 | |
| 37 | claude-5-fable anthropic/claude-5-fable | standard | 225.98B in 222.60B · out 3.38B | 0.4% | 4.2M | 0 | |
| 38 | gpt-4o-mini openai/gpt-4o-mini | standard | 215.69B in 205.08B · out 10.61B | 0.4% | 117.3M | 0 | |
| 39 | mistral-nemo mistralai/mistral-nemo | standard | 214.25B in 202.14B · out 12.11B | 0.4% | 80.1M | 0 | |
| 40 | claude-4.7-opus anthropic/claude-4.7-opus | standard | 202.31B in 195.42B · out 6.89B | 0.4% | 9.0M | 0 | |
| 41 | gpt-5.5 openai/gpt-5.5 | standard | 202.13B in 191.46B · out 10.67B | 0.4% | 11.4M | 0 | |
| 42 | qwen3-embedding-8b qwen/qwen3-embedding-8b | standard | 189.66B in 189.66B · out 0 | 0.4% | 61.3M | 0 | |
| 43 | gemini-3.1-pro-preview google/gemini-3.1-pro-preview | standard | 188.83B in 166.57B · out 22.27B | 0.4% | 14.5M | 0 | |
| 44 | kimi-k2.5-0127 moonshotai/kimi-k2.5-0127 | standard | 188.17B in 181.24B · out 6.94B | 0.4% | 9.7M | 0 | |
| 45 | gpt-5.4-mini openai/gpt-5.4-mini | standard | 188.07B in 176.95B · out 11.12B | 0.4% | 27.0M | 0 | |
| 46 | laguna-xs-2.1 poolside/laguna-xs-2.1 | free | 178.85B in 177.63B · out 1.23B | 0.3% | 2.9M | 0 | |
| 47 | gpt-5.4-nano openai/gpt-5.4-nano | standard | 178.35B in 171.41B · out 6.94B | 0.3% | 37.6M | 0 | |
| 48 | claude-4.6-opus anthropic/claude-4.6-opus | standard | 175.57B in 172.44B · out 3.13B | 0.3% | 4.5M | 0 | |
| 49 | kimi-k2.6 moonshotai/kimi-k2.6 | standard | 173.59B in 156.49B · out 17.09B | 0.3% | 12.6M | 0 | |
| 50 | gpt-5.6-luna-pro openai/gpt-5.6-luna-pro | standard | 168.76B in 165.48B · out 3.27B | 0.3% | 1.2M | 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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