Xiaomi's open-weight MiMo-V2.5-Pro takes aim at Claude Opus with hours-long autonomous coding

2026-05-03 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

Xiaomi has released MiMo-V2.5-Pro, a new model that reportedly achieves performance comparable to Anthropic's Claude Opus 4.6 on coding benchmarks. A key advantage of MiMo-V2.5-Pro is its efficiency, consuming 40% to 60% fewer tokens than its competitor. This release signifies Xiaomi's increased focus on the competitive landscape of Chinese open-weight model providers, such as Deepseek, where the industry trend is moving beyond just achieving high benchmark scores to optimizing for cost-effectiveness and extended autonomous operation for single tasks.

Key takeaway

For AI engineers evaluating open-weight models for coding tasks, you should prioritize MiMo-V2.5-Pro for its reported 40-60% token efficiency while matching Claude Opus 4.6 performance. This shift towards cost-effective, long-duration autonomous operation means optimizing resource consumption is as critical as raw benchmark scores for deployment decisions.

Key insights

Xiaomi's MiMo-V2.5-Pro offers Claude Opus 4.6-level coding performance with significantly reduced token consumption.

Principles

• Efficiency is a new competitive frontier
• Open-weight models prioritize cost-effectiveness

In practice

• Evaluate models on token efficiency
• Consider autonomous task duration

Topics

• Xiaomi MiMo-V2.5-Pro
• Open-weight AI Models
• Coding Benchmarks
• Claude Opus 4.6
• Autonomous Coding

Best for: CTO, VP of Engineering/Data, AI Engineer, AI Scientist, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.