MiMo-V2.6 is Xiaomi’s open omnimodal model family for long-horizon agent work. Pro and Flash handle text, images, audio and video with 1M context, while Xiaomi is also releasing the technical report, RL environments and training code behind the public post-training run.
MiMo-V2.6 comes in Pro and Flash, both native omni models, plus an UltraSpeed mode when you want the tokens sooner. API pricing stays the same as V2.5.
Early in post-training, they put up a public board and streamed the RL run live to anyone watching. That’s the first model lab I’ve seen do this in the open.
Under six days, you could literally watch the curves move as both models went through 30 RL steps. Pro climbed from 58.4 to 72.6 on DeepSWE, while Flash went from 48.8 to 65.7.
The release itself goes pretty far beyond the checkpoint. Xiaomi is open-sourcing the weights, technical report, RL environments, training framework and the lightweight harnesses they used around it.
Pro now scores highest among open models on Artificial Analysis, while the same family is doing some surprisingly broad work across coding, computer use, 3D and creative tasks.
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About MiMo-V2.6 on Product Hunt
“Open omnimodal intelligence, trained in public”
MiMo-V2.6 launched on Product Hunt on September 22nd, 2026 and earned 105 upvotes and 3 comments, placing #10 on the daily leaderboard. MiMo-V2.6 is Xiaomi’s open omnimodal model family for long-horizon agent work. Pro and Flash handle text, images, audio and video with 1M context, while Xiaomi is also releasing the technical report, RL environments and training code behind the public post-training run.
MiMo-V2.6 was featured in Open Source (68.9k followers) and Artificial Intelligence (479.2k followers) on Product Hunt. Together, these topics include over 138.8k products, making this a competitive space to launch in.
Who hunted MiMo-V2.6?
MiMo-V2.6 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MiMo-V2.6 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
MiMo-V2.6 comes in Pro and Flash, both native omni models, plus an UltraSpeed mode when you want the tokens sooner. API pricing stays the same as V2.5.
Early in post-training, they put up a public board and streamed the RL run live to anyone watching. That’s the first model lab I’ve seen do this in the open.
Under six days, you could literally watch the curves move as both models went through 30 RL steps. Pro climbed from 58.4 to 72.6 on DeepSWE, while Flash went from 48.8 to 65.7.
The release itself goes pretty far beyond the checkpoint. Xiaomi is open-sourcing the weights, technical report, RL environments, training framework and the lightweight harnesses they used around it.
Pro now scores highest among open models on Artificial Analysis, while the same family is doing some surprisingly broad work across coding, computer use, 3D and creative tasks.