Unverified50% confidenceTradeoffExact time
On-device model sizes are constrained (typically within a few hundred MB), and their depth of understanding still lags behind cloud-based large models.
1
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50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
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Related Claims
UnverifiedThe model scale that local devices can run smoothly is typically between 7 billion and 34 billion parameters, which significantly lags behind top-tier cloud models in capabilities such as complex reasoning and long-context understanding.72% similarUnverifiedQuantized DeepSeek models require several GB of VRAM, and Stable Diffusion inference typically requires 4–8 GB of VRAM.71% similarUnverified端侧模型推理需为KV缓存、中间激活值和系统开销预留内存，实际可支撑的上下文长度可能远低于云端版本的128K窗口71% similarUnverifiedEnd-to-end multimodal large model solutions typically require more than 16 GB of VRAM.69% similar
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