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MiniCPM 4.1

The on-device model for your personal data

Open Source
Artificial Intelligence
GitHub
Development

Hunted byZac ZuoZac Zuo

MiniCPM 4.1 is a new 8B open-source model designed for the edge. Featuring a novel trainable sparse attention architecture, it brings efficient "deep thinking" and long-context capabilities to on-device AI, achieving state-of-the-art performance for its size.

Top comment

Hi everyone! MiniCPM really gets what's essential for the future of on-device AI. Deep thinking and long-context processing are critical on the edge. Our personal devices—from powerful desktops to laptops—hold a massive amount of private context. A truly useful personal assistant needs to process all of that to be genuinely helpful, and running it locally is the best way to keep it secure. That's why MiniCPM 4.1 is so interesting. Its new sparse architecture makes this kind of deep thinking on your personal data not just possible, but efficient enough to run on consumer hardware. It's a big step forward. Keep pushing, MiniCPM Team! There's a huge chance to shine in the coming big bang of on-device AI hardware and applications.

Comment highlights

It's a huge win for open source, I am eager to try it. Great job MiniCPM team. I also observed its output text quality was better than Qwen 3 in that video.

About MiniCPM 4.1 on Product Hunt

The on-device model for your personal data

MiniCPM 4.1 launched on Product Hunt on September 9th, 2025 and earned 119 upvotes and 2 comments, placing #11 on the daily leaderboard. MiniCPM 4.1 is a new 8B open-source model designed for the edge. Featuring a novel trainable sparse attention architecture, it brings efficient "deep thinking" and long-context capabilities to on-device AI, achieving state-of-the-art performance for its size.

MiniCPM 4.1 was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers), GitHub (41.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 119.9k products, making this a competitive space to launch in.

Who hunted MiniCPM 4.1?

MiniCPM 4.1 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 MiniCPM 4.1 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.