InternVL 3
InternVL 3 is Shanghai AI Laboratory’s open-weight vision-language model generation. A native multimodal pretraining generation with variable visual position encoding, stronger perception and reasoning, and multimodal test-time scaling. It supports language responses to images and video frames, document analysis, and visual questions. This family page groups ordinary size and packaging variants. Context and licensing depend on the selected checkpoint; large models can inherit additional language-backbone license conditions. Published evaluation results use specific visual preprocessing and inference settings, so they do not guarantee application performance.
2025-04-11
1B–78B
Vision Transformer, MLP projector, and decoder language model
MIT; backbone-specific licenses apply
Specifications
- Parameters
- 1B–78B
- Architecture
- Vision Transformer, MLP projector, and decoder language model
- License
- MIT; backbone-specific licenses apply
- Type
- multimodal
- Modalities
- textimagevideo
Benchmark Scores
Advanced Specifications
- Model Family
- InternVL
- API Access
- Not Available
- Chat Interface
- Not Available
- Variants
- InternVL3-78B
Capabilities & Limitations
- Capabilities
- visual question answeringdocument understandingvideo understandingreasoning
- Known Limitations
- Family members have different deployment and license conditionsHigh-resolution inputs consume contextVisual answers may hallucinate details
- Notable Use Cases
- document assistantsvideo analysismultimodal research