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Xiaomi Releases MiMo-V2.5 AI Models Matching Frontier Performance at Lower Cost
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Xiaomi Releases MiMo-V2.5 AI Models Matching Frontier Performance at Lower Cost

Apr 23, 2026

Xiaomi's MiMo team released two new open-source agentic AI models, MiMo-V2.5-Pro and MiMo-V2.5, that achieve performance matching frontier model benchmarks while operating at significantly lower token costs. The models push open-source agentic AI capabilities closer to frontier territory, potentially democratizing access to advanced AI performance previously limited to expensive proprietary systems. The release represents a significant development in the competitive landscape between open-source and closed-source AI models, offering developers and organizations high-performance alternatives at reduced operational costs.

MiMo-V2.5 Models Release and Performance Benchmarks

  • ▪Xiaomi's MiMo team released two new AI models
  • ▪MiMo-V2.5-Pro and MiMo-V2.5 push open-source agentic AI closer to frontier territory
  • ▪MiMo-V2.5-Pro and MiMo-V2.5 match frontier model benchmarks
  • ▪The two new models released by Xiaomi's MiMo team are named MiMo-V2.5-Pro and MiMo-V2.5

Cost Efficiency and Open-Source Positioning

  • ▪MiMo-V2.5-Pro and MiMo-V2.5 operate at significantly lower token cost compared to frontier models
  • ▪MiMo-V2.5-Pro and MiMo-V2.5 are open-source AI models

Perspective of Open-source AI community

  • ▪Xiaomi's MiMo-V2.5 models democratize access to frontier-level AI performance through open-source availability
  • ▪MiMo-V2.5's lower token costs make advanced agentic AI capabilities more accessible to developers and smaller organizations

Perspective of Proprietary AI model providers

  • ▪MiMo-V2.5's combination of frontier-matching performance and lower costs challenges the value proposition of proprietary AI models
  • ▪Xiaomi's release of MiMo-V2.5 intensifies competitive pressure on companies offering closed-source frontier AI models

1 source

Marktechpost
Xiaomi Releases MiMo-V2.5-Pro and MiMo-V2.5: Matching Frontier Model Benchmarks at Significantly Lower Token Cost
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