Xiaomi MiMo-V2.6-Pro debuts as top open weights model on Artificial Analysis index
At US$0.435 per 1M input tokens, MiMo-V2.6-Pro undercuts most frontier closed models, and open weights let teams in cost-sensitive Southeast Asian markets self-host or deploy via API.
Xiaomi released MiMo-V2.6-Pro as an open weights model, scoring 46 on the Artificial Analysis Intelligence Index, up from 26 for MiMo-V2.5-Pro. At US$0.13 per Intelligence Index task, it sits on the Intelligence vs. Cost per Task Pareto frontier. Pricing stays at US$0.435 per 1M input tokens with a 99% cache-hit discount and US$0.87 per 1M output tokens. The model is an MoE with 1.02T total parameters and 42B active parameters. Xiaomi is also open-sourcing MiMo-V2.6-Flash, MiMo-V2.6-Distill-Qwen-9B, a technical report, 7K+ RL task environments and an end-to-end RL framework.
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 ⚡