AI 导读
小米发布开源权重模型 MiMo-V2.6-Pro，在 Artificial Analysis 智能指数上得分 46，成为该榜单上得分最高的开源权重模型。该模型为 1.02T 总参数、42B 激活参数的 MoE 架构，每项智能指数任务成本 0.13 美元，输入 0.435 美元/1M tokens（含 99% 缓存命中折扣）、输出 0.87 美元/1M tokens。同时开源的还包括 Pro 与 Flash、MiMo-V2.6-Distill-Qwen-9B、技术报告、7K+ RL 任务环境、端到端 RL 框架与可组合 mini-harnesses。
推荐理由
原文给出智能指数与每任务成本数据，读者可据此比较该开源模型在同类部署中的性价比。
正文
New open frontier model! MiMo-V2.6 Pro lands on the Intelligence-vs.-Cost-per-Task Pareto frontier.
The best part is that they are open-sourcing Pro and Flash, MiMo-V2.6-Distill-Qwen-9B, the technical report, 7K+ RL task environments, an end-to-end RL framework, and composable mini-harnesses.
MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy. MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model. Check out MiMo-V2.6-Pro full benchmarking breakdown here: https://t.co/czBJhQKuWJ在 X 查看被引用的帖子
来源：@omarsar0 · x.com