The AI open-source ecosystem has welcomed another strong contender. According to the latest evaluation data released by Arena.ai, Xiaomi's new all-modal flagship model, MiMo-V2.6-Pro, performed outstandingly in the Code Arena: WebDev (Web Development Test Field). Upon its debut, it successfully returned to the top ten of the overall ranking and ranked among the top three in open-source weight models using the MIT license.
Regarding specific scoring performance, MiMo-V2.6-Pro achieved a high score of 1628 in early automated evaluation (AutoEval). This result is not only on par with Claude Fable5 (High), but also slightly surpasses Hy4-preview, which scored 1624. Compared to the previous generation product MiMo-V2.5-Pro, which previously scored 1475, this represents a significant leap of 153 points in a single iteration.
In the horizontal comparison of open-source weight models, the model also showed excellent performance. Currently, its score lags behind the second-ranked Qwen3.8Flash Next by about 7 points, and is only 46 points behind the top-ranked Kimi K3Max.
It should be noted that this result is currently derived from automated voting based on a reward model trained on human preference data. As more real human voting data continues to accumulate and converge, the final ranking and performance of the model will continue to be verified. The strong debut of MiMo-V2.6-Pro once again demonstrates Xiaomi's continuous efforts and technical breakthroughs in the fields of reinforcement learning and all-modal large model development.
