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Xiaomi's MiMo models are making the AI pricing conversation uncomfortable

Reddit r/artificial / 3/23/2026

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Key Points

  • Xiaomi’s MiMo-V2-Flash is presented as an open-source model that achieves a top SWE-Bench score and very low token pricing, roughly matching Claude Sonnet at a small fraction of its cost.
  • MiMo-V2-Pro is described as competitive on agent benchmarks with a large 1M-token context window, while also charging far less than similarly performing Western models (e.g., Claude Opus pricing).
  • The article notes that the lead researcher previously worked at DeepSeek and that the Pro model reportedly ran via OpenRouter in a way that led the community to suspect it was DeepSeek V4.
  • It raises an industry question about when Western AI companies need to respond on pricing versus relying on claims such as better reliability, safety, and enterprise support to justify higher premiums.

MiMo-V2-Flash is open source, scores 73.4% on SWE-Bench (#1 among open source models), and costs $0.10 per million input tokens. That's comparable to Claude Sonnet at 3.5% of the price.

MiMo-V2-Pro ranks #3 globally on agent benchmarks behind Claude Opus 4.6, with a 1M token context window, at $1/$3 per million tokens. Opus charges $5/$25 for similar performance.

The lead researcher came from DeepSeek. The Pro model spent a week on OpenRouter anonymously and the entire community thought it was DeepSeek V4.

At what point do Western AI companies have to respond on pricing? Or is the argument that reliability, safety, and enterprise support justify the 10x premium?

submitted by /u/jochenboele
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