Xiaomi's MiMo-V2.6-Pro tops open-weight benchmarks with 1T-param MoE at rock-bottom pricing
MikeBirdTech · x · 2026-09-22
Xiaomi released MiMo-V2.6-Pro, debuting as the top open-weights model on the Artificial Analysis Intelligence Index (46), up from 26 for its predecessor.
- Architecture & cost: MoE with 1.02T total / 42B active params; $0.435/1M input (99% cache-hit discount) and $0.87/1M output—among the cheapest to deploy, sitting on the intelligence-vs-cost Pareto frontier at $0.13/task.
- rasbt's take: The architecture is plain—classic GQA plus sliding window attention at a tiny 128-token window—showing progress comes from data and post-training recipes, not fancy attention variants. The tech report highlights more agent-task training across harnesses, lifting average DeepSWE pass@1 on held-out harnesses from 50% to 66%.
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