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Xiaomi MiMo-V2.5-Pro and V2.5 AI models, benchmark performance, lower token cost, tech innovation.

Editorial illustration for Xiaomi launches MiMo‑V2.5‑Pro and V2.5, matching benchmarks at lower token cost

Xiaomi MiMo-V2.5 Slashes AI Token Costs Dramatically

Xiaomi launches MiMo‑V2.5‑Pro and V2.5, matching benchmarks at lower token cost

Updated: 2 min read

Xiaomi just dropped two new AI models. They hit the same performance marks as the industry's top benchmarks. But they cost less to run.

The flagship, MiMo-V2.5-Pro, now leads Xiaomi's own MiMo Coding Bench. That's the company's internal scorecard for developer agent tasks. Xiaomi claims it can directly replace systems like Claude Code.

Xiaomi MiMo team publicly released two new models: MiMo-V2.5-Pro and MiMo-V2.5.

Common Questions Answered

How do the MiMo-V2.5-Pro and V2.5 models differ in performance and cost?

The MiMo-V2.5-Pro and V2.5 models achieve similar benchmark scores to leading frontier models while significantly reducing token inference costs. The V2.5-Pro version leads the field on Xiaomi's internal MiMo Coding Bench, offering high-performance code generation capabilities at a more affordable price point for developers.

What is the MiMo Coding Bench and how does it evaluate AI models?

The MiMo Coding Bench is Xiaomi's in-house evaluation suite designed to assess AI models on real-world developer tasks within agentic frameworks. It comprehensively tests models across multiple dimensions including repo understanding, project building, code review, structured artifact generation, planning, and software engineering challenges.

Which development frameworks are compatible with Xiaomi's new AI models?

Xiaomi explicitly positions the MiMo-V2.5-Pro as a drop-in backend for scaffolds including Claude Code, OpenCode, and Kilo. The models are now accessible via API and are designed to provide seamless integration for developers working across different coding environments.

Further Reading

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