Unverified50% confidenceFactExact time
Small VLMs such as LLaVA-7B and Qwen-VL-Chat typically have parameter counts in the billions, while object detection models typically range from tens of millions to hundreds of millions of parameters.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedTongyi Qianwen released the Qwen 3.8 Max model, with a parameter scale as high as 2.4 trillion.71% similarUnverifiedThe Qwen series comes in multiple parameter sizes ranging from 1.5 billion to 72 billion.70% similarUnverifiedMiniMax M2.7采用230亿参数的稀疏MoE（混合专家）架构，每个token仅激活100亿参数68% similarUnverifiedMeituan has officially open-sourced the trillion-parameter model LongCat 2.0, with a total parameter count of 1.6T, adopting a MoE architecture with an average of approximately 48B activated parameters67% similarVerifiedQwen3-235B has a total parameter count of 235 billion, adopts a MoE architecture, and activates approximately 22B parameters during each forward inference pass.67% similar
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