Xiaomi MiMo

• 1. overview (619 chars)

  Xiaomi MiMo is a universal smart base developed by Xiaomi Group's Core team. It will be officially unveiled as the lightweight MiMo-7B in April 2025 and adopts the MIT open source protocol. This model only has a 7B parameter scale, but it has achieved excellent results on benchmarks such as AIME mathematical reasoning, showing a balance between lightweight and high performance. On April 23, 2026, Xiaomi officially launched the public beta of the MiMo-V2.5 series of large models. MiMo-V2.5-Pro ​​has reached the world's top Agent model level in terms of general agent capabilities, complex software engineering, and long-range tasks, and its comprehensive intelligence index ranks first in the world's open source large models.

• 2. Product background (520 chars)

  Xiaomi MiMo is independently developed by Xiaomi Group and is affiliated with Xiaomi AI Lab. As the world's leading intelligent ecological enterprise, Xiaomi has continued to invest in the field of AI in recent years, gradually building a complete AI capability matrix covering voice, vision, and multi-modality. The MiMo series not only provides consumers with a Web-side conversation experience, but also provides API interfaces to developers to support rapid integration and access. The MiMo series currently includes a variety of products, covering different levels of demand from lightweight to flagship.

• 3. Product functions and experience (565 chars)

  The MiMo-V2.5 series includes four products: MiMo-V2.5-Pro ​​is positioned as the flagship and achieves breakthroughs in agent capabilities and long-range consistency; MiMo-V2.5 is aimed at mainstream users and takes into account both performance and efficiency; MiMo-V2.5-TTS Series empowers Agents with speech generation capabilities; MiMo-V2.5-ASR is an open source speech recognition model that supports complex scenarios such as Chinese and English bilingualism, dialects, and lyrics. In terms of user experience, MiMo can understand text and the world, and establish a more natural interactive relationship with users through continuous learning.

• 4. Pricing and business model (265 chars)

  MiMo adopts the Token billing model to provide transparent quota management. According to different product levels, it is divided into multiple package levels, from free trials to enterprise-level API calls, to meet the needs of different user groups. Specific pricing plans can be found on the official website.

• 5. User reviews (435 chars)

  In terms of positive reviews, users generally recognize MiMo’s capabilities in mathematical reasoning and code generation, believing that the lightweight model can run efficiently on consumer-grade hardware and is highly practical. However, some users pointed out that some evaluation lists contain elements of marketing propaganda, and there may be differences between actual capabilities and performance on the list. In addition, the stability of the online search function is also the focus of some users.

• 6. Industry evaluation (336 chars)

  From an industry perspective, the emergence of MiMo has won honors for Chinese AI companies in the field of open source large models. The results on multiple international evaluation lists prove its technical strength. However, the media also pointed out that the evaluation data need to be viewed objectively, and the actual application effect of the model needs to be tested in more real scenarios.

• 7. Applicable people and suggestions (341 chars)

  MiMo is suitable for the following user groups: developers who need AI-assisted programming and mathematical reasoning; ordinary users who need AI assistants; and enterprise customers who want to integrate AI capabilities. For users who pursue ultimate performance, it is recommended to choose the Pro version; for resource strict usage scenarios, the Flash version provides faster response speed.

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  IsabellaMartinezZ

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  MiMo-V2.5-Pro 在编程和数学推理方面真的很強，開心！

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  Jonathan.Hart

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  測試了一下小米最新版本的全模態能力，確實有驚艷到，反應速度也很快。

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  Julie.Murphy_20245

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  用了一週，總結一下：Agent能力提升明顯，但聯網檢索有時會抽風希望能改進。

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  Ralph_Cooper_88

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  相比較之前的版本，這次的 MiMo 确實更聰明了，答覆邏輯性更強。

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  Henry_Kim_99

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  官方說在 Artificial Analysis 榜單排第一，實際用起來感覺數學推理確實很強，某些複雜場景也能處理得不錯。

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  Jack.Russell

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  輕量化模型能做到這個水準已經很不錯了，起碼在消費級顯卡上就能跑，性價比OK。

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  Matthew.Gonzales_X

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  幫我寫了一段程式碼，本來折騰了一下午沒搞定，它30秒給我搞定了，太香了！

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  ZacharyFoster_Pro

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  _miMo 的語音識別支持中英雙語和方言，這點很實用，省得切換來切換去的。

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  JessicaMoore_2021

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  個人感覺這個模型比較適合輔助編程和寫作，正式場合還是不敢用，萬一出錯就麻煩了。

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  梅花677

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  用過 GPT-4 再用 MiMo，差距還是有的，但勝在免費啊，要什麼腳踏車。

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  Aaron.Collins_X27

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  期待後續版本能開放更多功能，現在的許可證明顯不夠用，每天要省著用。

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  流光39

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  小米的模型現在這麼頂了嗎？當初就是隨便玩玩的心態試了一下，結果被驚艷到了。

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  PenguinPoolButler

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  感覺這個產品用心了，起碼比某些只會吹牛的強太多，希望繼續優化。

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  HLong168355

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  用來處理一些簡單的文字工作非常順手，速度也很快，比傳統的搜索引擎好用太多。

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  BettyOrtizQ6

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  作為開發者，我比較關心 API 的穩定性，目前用下來還挺靠譜的，希望保持。

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  FParker_Pro1

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  不得不說小米這波真的666，不僅模型做得好，文檔也很詳細，點個贊！

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  wejzxq0

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  我主要是用來寫報告的，感覺比我自己寫的要好，起碼邏輯清晰，用詞準確。

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  Lisa_Cruz_88

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  對比其他開源模型，小米的這個性價比真的可以，關鍵是開源協議很友好，可以商用。

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