ThursdAI — the weekly AI news podcast hosted by Alex Volkov — has covered 3 OpenBMB releases since Feb 2026, most recently MiniCPM-V 4.7 on Oct 15, 2026. Highlights include MiniCPM-V 4.7, MiniCPM5-1B, MiniCPM-o 4.5. All 3 shipped with open weights. Every entry below has primary-source links and the episode segment where we covered it live, plus key numbers where we have them.
OpenBMB MiniCPM-V 4.7 runs a 35B-A3B vision MoE on an iPhone in ~3GB
MiniCPM-V 4.7 is a 35B-A3B multimodal mixture-of-experts model that runs on an iPhone in about 3GB of memory, released alongside a 1B variant.
OpenBMB MiniCPM5-1B: new SOTA 1B open-weights model
OpenBMB released MiniCPM5-1B, a state-of-the-art 1B-parameter open-weights model for efficient local and on-device use that runs on a phone. It scores 17.9 on the Artificial Analysis Intelligence Index, 7.4 points ahead of its size class, while using roughly 31x fewer output tokens than Qwen3.5 2B.
MiniCPM-o 4.5: first open-source full-duplex omni model
OpenBMB released MiniCPM-o 4.5, the first open-source full-duplex omni-modal LLM that can see, listen, and speak simultaneously. It can listen while speaking and even interrupt the user, bringing real-time conversational behavior to open weights.
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