MiniCPM5-1B is a dense 1B open model built for on-device and local deployment. It supports 131K context, Think / No Think modes, tool calling, GGUF and MLX formats, major inference backends, and even powers an offline desktop pet.
SOTA at 1B parameters running fully on device is wild. the cost of not needing cloud inference adds up fast when you're running agents all day. 131K context on edge hardware is the part I'd want to stress test
About MiniCPM5-1B on Product Hunt
“A new SOTA for compact open models on the edge”
MiniCPM5-1B launched on Product Hunt on May 26th, 2026 and earned 96 upvotes and 2 comments, placing #16 on the daily leaderboard. MiniCPM5-1B is a dense 1B open model built for on-device and local deployment. It supports 131K context, Think / No Think modes, tool calling, GGUF and MLX formats, major inference backends, and even powers an offline desktop pet.
MiniCPM5-1B was featured in Open Source (68.5k followers), Artificial Intelligence (470k followers), GitHub (41.2k followers) and Development (5.9k followers) on Product Hunt. Together, these topics include over 134.3k products, making this a competitive space to launch in.
Who hunted MiniCPM5-1B?
MiniCPM5-1B 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.
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Zac Zuo
Hi everyone!
MiniCPM5-1B is currently the strongest open-source model under 2B for on-device use:
It hits SOTA in the 1B-class on agentic tool use, code generation, and tough reasoning tasks while keeping a very small footprint.
The INT4 weights are only around 0.5GB, which makes the local story much more real.
OpenBMB also shipped a cute Desktop Pet fully powered by this model — completely local, no cloud:
https://www.youtube.com/watch?v=Ee0slMW8SEk