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Xiaomi's affordable flagship AI leads the open models, and Anthropic says Claude helped get it there

The Decoderby Maximilian Schreiner ()3 min read5 · 2 reads
AI summary · glm-5.3Summaries by Vani AI

Xiaomi's MiMo-V2.6-Pro tops open-model rankings at a fraction of rivals' cost, while Anthropic accuses Xiaomi of large-scale Claude distillation.

Xiaomi released MiMo-V2.6-Pro, a 1.02-trillion-parameter MoE with 42B active, scoring 46 on Artificial Analysis's Intelligence Index to lead open models ahead of Kimi K3 and Qwen, priced at $0.435/M input and $0.87/M output tokens. Performance gains came from a scaled reinforcement-learning run costing $2.62M in under six days, lifting DeepSWE from 58.4 to 72.6. Anthropic's threat report (case GTG-16008) tracks over 400,000 exchanges routing MiMo conversations through OpenClaw and OpenCode to Claude for illegal distillation. Xiaomi also open-sourced its RL toolkit with roughly 7,000 auto-graded training tasks, including cybersecurity tasks drawn from OSS-Fuzz.

Key facts
  • MiMo-V2.6-Pro: 1.02T-parameter MoE, 42B active, tops open-model Intelligence Index at 46
  • Costs $0.435/M input and $0.87/M output tokens; RL training run cost $2.62M in six days
  • Anthropic accuses Xiaomi of distilling Claude via 400,000+ exchanges (case GTG-16008)
  • Open-sourced RL framework with ~7,000 auto-graded tasks including OSS-Fuzz cybersecurity tasks
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From the original article

3 min read at the-decoder.com

With MiMo-V2. 6-Pro, Xiaomi moves to the top of the openly available AI models and drastically undercuts the competition on price. What makes that possible is massive reinforcement learning that cost $2.

The Decoder

By Maximilian Schreiner · the-decoder.com

Read the full article at The Decoder

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.