[AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M
- ID
- 27124
- Status
- summarized
- Published
- 22 Sep 2026, 2:30 PM
- Fetched
- 22 Sep 2026, 3:05 PM
- Provider
- Latent Space
- Category
- developer-ai
- Original URL
- https://www.latent.space/p/ainews-xiaomi-mimo-v26-pro-1t-a42b
- Source URL
- https://www.latent.space/feed
Summary
- Score
- 7.5
- Created
- 22 Sep 2026, 3:06 PM
- Tags
- Audience
- developersai_ml_learnerssaas_foundersai_agent_users
What happened
Xiaomi released MiMo-V2.6-Pro, a 1T-parameter (42B active) natively omnimodal open-weights model that tops the Artificial Analysis Intelligence Index at score 46, costing $0.13 per task on the cost-vs-intelligence Pareto frontier. The model was trained for approximately $3M, with Xiaomi publishing live RL training metrics—a level of transparency unusual for a frontier lab, led by former DeepSeek engineer Fuli Luo. Three variants ship: Pro, Flash (balanced), and Pro-UltraSpeed (up to 20x faster output at same quality).
Why it matters
A new top open-weights model at $0.13/task means builders who self-host can now access frontier-quality omnimodal inference without API lock-in or per-token vendor pricing. For Malaysian teams concerned about data sovereignty or API costs in MYR, this is a deployable alternative worth benchmarking against your current API provider. The $3M training cost also signals that the gap between frontier labs and well-funded newcomers is narrowing fast enough to affect model selection decisions within a quarter.
Discussion angle
Compare MiMo-V2.6-Pro's $0.13/task cost and self-hostable open-weights against what your team currently pays for GPT-4o or Claude via API—does the math work for your workload, and do you have (or can you rent) the GPU capacity to actually run a 42B-active MoE model in Malaysia?