Xiaomi releases MiMo-v2.5 Family weights with strong coding and agent benchmarks
Xiaomi has open-sourced MiMo-V2.5-Pro, a high-performance AI model excelling in coding and agentic tasks, with benchmarks competitive with top models like Claude Opus 4.6 and GPT-5.4. It demonstrated strong real-world performance by completing complex projects such as a university compiler task, building a video editor, and designing analog circuits. The model offers improved long-context handling up to 1 million tokens and significantly higher token efficiency, reducing operational costs. A multimodal version, MiMo-V2.5, was also released, supporting text, image, audio, and video in a unified architecture.
- ▪MiMo-V2.5-Pro completed a full SysY compiler project for Peking University in 4.3 hours, passing all 233 hidden tests with a perfect score.
- ▪It outperforms or matches leading models like Claude Opus 4.6 and GPT-5.4 on key coding benchmarks including SWE-Bench and Terminal-Bench, while using 40–60% fewer tokens per task.
- ▪The model sustains complex, long-horizon tasks across thousands of tool calls and maintains performance at 1 million tokens via a hybrid attention architecture.
- ▪MiMo-V2.5, a multimodal variant, supports text, image, audio, and video processing with a 1M token context and is available under the permissive MIT license.
- ▪Both models are available on HuggingFace with full weights, supporting local deployment via SGLang or vLLM, and are commercially usable without restrictions.
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