Home
SmolVLM-Instruct VS InternVL3-1B
| Model Name | Platform | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| SmolVLM-Instruct | HuggingFace | March 1, 2025 | 2.3B | 1.7 |
| InternVL3-1B | Shanghai AI Laboratory & Tsinghua University | June 1, 2025 | 0.94B | 2.4 |
Swipe left and right to view more
Brief Comparison of SmolVLM-Instruct VS InternVL3-1B 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 InternVL3-1B 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 InternVL3-1B 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.
