On March 23rd, someone on LocalLLaMA — the subreddit where models get stress-tested rather than celebrated — delivered a one-word verdict on Xiaomi's MiMo v2 Pro: cooked. That word carries weight in that particular room. The LocalLLaMA community has a low tolerance for benchmark theatre. Its users run inference overnight, stress-test reasoning chains, and have developed a finely calibrated sense of when a model is genuinely capable versus when it is performing capability. "Cooked" means the latter. It means the thing impressed someone who is hard to impress. MiMo is Xiaomi's reasoning-focused model line, competing in the open and semi-open tier where DeepSeek has set a punishing standard and where every new entrant gets compared not to last year's closed models but to whatever dropped on Hugging Face last Tuesday. The v2 Pro designation suggests iteration — Xiaomi has been quietly building here, not making a single grand entrance. That pattern of incremental, serious development is itself worth noting. The thread score of 6.8 is modest but not insignificant for a community that awards engagement on the basis of demonstrated substance. One person's strong reaction, no corroboration yet. That's where we are.
If confirmed, here is what this means. A competitive MiMo v2 Pro would signal that Xiaomi has crossed a threshold — from consumer electronics company dabbling in AI to an organisation capable of producing models that serious developers actually want to use. The implications run in two directions at once. For the open-weights ecosystem, it adds another credible reasoning model to a tier that is already forcing closed providers to justify their pricing. For Xiaomi, it validates a strategy of building AI capability adjacent to its hardware business rather than purely in service of it. The second-order effect is the interesting one: Xiaomi's distribution reach, combined with a genuinely capable model, creates leverage that pure AI labs don't have. They can embed, they can ship on-device, they can bundle. If MiMo v2 Pro is as strong as the early signal suggests, the question stops being whether Xiaomi can build a good model and starts being what they intend to do with it.
Watch for independent benchmarks and developer replication on Hugging Face — if the model is real and the "cooked" verdict holds, corroborating posts will appear within days. Any silence beyond that window suggests the original assessment may not survive wider scrutiny.
<!-- SC_OFF --><div class="md"><p>my personal experience was quite bad, so bad that i came here to write a post about (i don't post that often). so here goes. </p> <p>here's how i
<!-- SC_OFF --><div class="md"><p>I've been using this for high-level text processing tasks -- analysis, criticism, generation -- and am stunned to find it performing as well or
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sv9q8f/weights_are_comingxiaomis_mimo_v25_pro_has_landed/"> <img alt=""Weights are
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sxbcyn/mimo_v25_pro/"> <img alt="MIMO V2.5 PRO"
<!-- SC_OFF --><div class="md"><p>Cool to see this as it happens!</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/skeole"> /u/skeole </a>
  submitted by   <a href="https://www.reddit.com/user/Not-Post-Malone"> /u/Not-Post-Malone </a> <br /> <span><a href="https://mimo.xiaomi.com/rl/">[link]</a></span>  
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wmnw89/xiaomimimomimov26flashrl_hugging_face/"> <img alt="XiaomiMiMo/MiMo-V2.6-Flash-RL · Hugging Face"
<!-- SC_OFF --><div class="md"><p>From the email</p> <p>"Early access to new models</p> <p>During the program, approved users can try two next-generation Xiaomi MiMo models
NewsHive monitors these sources continuously. All signal titles above link to the original reporting.
Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →