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Xiaomi releases open-weight MiMo-V2.6-Pro model, tops intelligence index

7 reports3 sourcesupdated 2 days ago

What happened

From the coverage

小米发了新模型 MiMo-V2.6-Pro,在 Artificial Analysis 的智能指数上拿了 46 分,是目前开源权重模型里最高的。作为对比,上一代 MiMo-V2.5-Pro 只有 26 分,这次提升幅度不小。不过正文没披露模型大小、训练数据和开源协议,这些都会直接影响实际能用在哪、怎么用,所以分数先看着,等细节出来再判断。

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Coverage

Follow the reports to see the story from different sides.

Sep 23
  1. AI HOT (Curated Pool)Pick
    Xiaomi releases open-source MiMo-V2.6 Pro and Flash multimodal models; Pro matches Claude Opus 5 and GPT-5.6 Sol on most agent benchmarks

    Xiaomi open-sourced two multimodal models: MiMo-V2.6 Pro and Flash. Pro scored 46 on the Artificial Analysis Intelligence Index—the highest among open-source models—and matches Claude Opus 5 and GPT-5.6 Sol on most agent benchmarks. The post doesn't disclose parameter counts, training cost, inference latency, or the exact open-source license, so I'd hold off on production assumptions for now.

Sep 22
  1. Latent SpacePick
    Xiaomi MiMo-V2.6-Pro tops open weights leaderboard, trained for $3M

    Xiaomi released the MiMo-V2.6 series. The Pro version ranks #1 among open weights models on the Artificial Analysis Intelligence Index with a score of 46, at a training cost of $3M. A Flash variant targets efficiency, and an UltraSpeed variant offers 20x faster output. The technical report details RL scaling across three axes: larger batches and throughput, richer multi-task environments, and more grader compute. Code and training recipes are open-sourced, but the 7k+ task datasets are not yet released. Former DeepSeek engineer Fuli Luo, now at Xiaomi, previously live-streamed the training runs.

  2. Hacker News front pagePick
    Xiaomi's MiMo-V2.6-Pro tops AA Intelligence Index, fast but verbose

    Artificial Analysis ranks Xiaomi's MiMo-V2.6-Pro #1 out of 114 models with a score of 46. It's a 1T total / 42B active parameter open-weight model with text, image, speech, and video input. Output speed is 125 tokens/sec, but it's verbose—generating 140M tokens during evaluation. Pricing: $0.43/M input, $0.87/M output; the full eval cost $206.66.

  3. AI HOT (Curated Pool)Pick
    Xiaomi MiMo-V2.6-Pro hits ~10th on Code Arena WebDev, ~3rd among open-weight models

    Xiaomi released two omni-modal models: MiMo-V2.6-Pro and Flash. The Pro version scored 1628 on Code Arena WebDev, up 153 points from MiMo-V2.5-Pro's 1475, landing around 10th overall and ~3rd among open-weight models under MIT license. The post doesn't disclose Flash's benchmark numbers or parameter counts.

  4. AI HOT (Curated Pool)Pick
    Xiaomi MiMo-V2.6-Pro tops open-weight model intelligence index

    Xiaomi released MiMo-V2.6-Pro, scoring 46 on the Artificial Analysis Intelligence Index—up from 26 for the previous V2.5-Pro. It's now the highest among open-weight models. The post doesn't disclose parameter count, architecture details, or a release timeline.

  5. AI HOT (Curated Pool)Pick
    Xiaomi releases MiMo-V2.6 Pro and Flash, two fully multimodal open-source models

    Xiaomi MiMo dropped two fully multimodal open-source models. The Pro version matches Claude Opus 5 and GPT-5.6 Sol on most agent benchmarks and scores 46 on the Artificial Analysis Intelligence Index—the highest among open-source models so far. Capabilities span coding, computer use, 3D reasoning, and creative tasks. The post doesn't disclose parameter counts, training details, or where Flash sits in the lineup, so I'd hold off on direct comparisons for now.

  6. AI HOT (Curated Pool)Pick
    Xiaomi MiMo-V2.6-Pro tops open-weight model intelligence index

    Xiaomi MiMo-V2.6-Pro scored 46 on the Artificial Analysis Intelligence Index, the highest among open-weight models. The previous MiMo-V2.5-Pro scored 26. The post doesn't disclose model size, training data, or release license, so hold for details.

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