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InternVL3-8B VS SmolVLM-Instruct
| Model Name | Platform | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| InternVL3-8B | Shanghai AI Laboratory & Tsinghua University | June 1, 2025 | 7.94B | 3.7 |
| SmolVLM-Instruct | HuggingFace | March 1, 2025 | 2.3B | 1.7 |
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Brief Comparison of InternVL3-8B VS SmolVLM-Instruct AI Models
Comprehensive Evaluation
Both models perform poorly in multimodal reasoning, with severe misinterpretation of visual details and illogical reasoning, indicating overall low capability.
Multimodal Reasoning
Both InternVL3-8B and SmolVLM-Instruct are weak in multimodal reasoning, exhibiting severe misinterpretation of visual information and shallow, chaotic cross-modal reasoning, with capabilities at a low level.
Multimodal Creation
Both InternVL3-8B and SmolVLM-Instruct are weak in multimodal creation, exhibiting severe disconnect between visuals and language, shallow and chaotic creativity, with capabilities at a low level.
