小米发布MiMo-V2.6 Pro开源模型
New open frontier model! MiMo-V2.6 Pro lands on the Intelligence-vs.-Cost-per-Task Pareto frontier. ...
小米开源了MiMo-V2.6-Pro和Flash版本，包含7K+强化学习环境和完整框架，性价比极高。
小米推出MiMo-V2.6-Pro开源模型，在Artificial Analysis Intelligence Index上获得46分，超越前代MiMo-V2.5-Pro的26分。该模型采用MoE架构，总参数量1.02T，活跃参数42B，输入 token 定价0.435美元/百万，输出 token 定价0.87美元/百万。模型在智能度与任务成本比方面达到帕累托最优。
New open frontier model! MiMo-V2.6 Pro lands on the Intelligence-vs.-Cost-per-Task Pareto frontier. ...
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. Artificial Analysis @ArtificialAnlys 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: artificialanalysis.ai 🔗 View Quoted Tweet 💬 5 🔄 1 ❤️ 15 👀 3146 📊 5 ⚡
