[AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M
Xiaomi released open-weights MiMo-V2.6-Pro, a 1.02T omnimodal model topping Artificial Analysis's open-model index.
Xiaomi released open-weight natively omnimodal models MiMo-V2.6-Pro and MiMo-V2.6-Flash, plus Pro-UltraSpeed mode claiming up to 20x faster generation at the same quality. Artificial Analysis ranks MiMo-V2.6-Pro first among open-weights models on its Intelligence Index with a score of 46; it has 1.02 trillion total parameters and 42 billion active, with cited pricing of $0.435 per million input tokens and $0.87 per million output tokens under an MIT license. Xiaomi described reinforcement learning across coding, agent, visual, and cyber tasks, with one cited run of about 130 hours, 75 billion tokens, and $2.6 million. Training recipes and environment code are slated for release, but the complete 7,000-plus task datasets are not yet public.
- MiMo-V2.6-Pro has 1.02 trillion total and 42 billion active parameters.
- Artificial Analysis ranks it first among open-weights models with index 46.
- MIT-licensed pricing cited at $0.435 input and $0.87 output per million tokens.
- The reinforcement-learning run was cited at 130 hours and about $2.6 million.
- Environment code is promised; the full 7,000-plus task sets are not yet public.
- Vendors
- Xiaomi
- Organizations
- XiaomiArtificial Analysis
- Countries
- China
From the original article
10 min read at latent.space
Meet Xiaomi and other top Chinese frontier labs at AIE Shanghai ! This is a first for the “Apple of China” phone maker-turned-frontier lab: “ The MiMo-V2. 6 series includes two natively omnimodal models: MiMo-V2.
latent.space
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