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Published
22/100

MiniCPM-V 4.7 beats Qwen 3.6 on a voxel pagoda with fewer tokens

AIOpenBMB's MiniCPM-V 4.7 35B-A3B used fewer tokens than Qwen 3.6 35B-A3 and produced a better voxel pagoda, according to a post by Atomic Chat. The post says the model consumed about 10% fewer tokens in that test.
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Interesting result for local VLMs. MiniCPM-V 4.7 35B-A3B not only used fewer tokens, but also produced a better voxel pagoda than Qwen 3.6 35B-A3. Efficiency + quality is becoming the real battleground for multimodal models.🔥

atomic.chat@atomic_chat_hq
MiniCPM-V 4.7 beat Qwen 3.6 35B-3A at Pagoda 🏯 @OpenBMB's new 35B-A3 model made a better 3D Voxel Japanese Pagoda while consuming 10% less tokens than Qwen 3.6 35B-3A Run AI models locally -> https://atomic.chat
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Original title: Interesting result for local VLMs. MiniCPM-V 4.7 35B-A3B not only used fewer tokens, but also produced a better voxel pagoda than Qwen 3....