Xiaomi's open-weight MiMo-V2.5-Pro takes aim at Claude Opus with hours-long autonomous coding
Xiaomi's MiMo-V2.5-Pro matches Claude Opus on coding while using 40-60% fewer tokens. The benchmark wars just shifted from raw scores to efficiency.
Why it matters
Chinese open-weight models are closing the capability gap with frontier closed models while dramatically improving inference efficiency. This reshapes the economics of AI deployment and intensifies competition in the long-context, autonomous coding space.
The key facts
5 to knowMiMo-V2.5-Pro nearly matches Claude Opus 4.6 on coding benchmarks
40-60% token efficiency improvement vs. Claude Opus
Focus on hours-long autonomous coding tasks
Competition intensifying among Chinese open-weight providers (Xiaomi, DeepSeek)
Benchmark competition shifting from raw scores to cost-per-inference and task duration
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Xiaomi's new MiMo-V2.5-Pro nearly matches Anthropic's Claude Opus 4.6 on coding benchmarks while burning 40 to 60 percent fewer tokens, according to the company. The release pushes Xiaomi deeper into the race among Chinese open-weight providers like Deepseek, where the fight is shifting from raw…