OpenGVLab: InternVL3 78B
Review
InternVL3 78B is a capable open-source multimodal model from OpenGVLab with vision support, but lacks benchmark data in our database, limiting our ability to assess its real-world performance — it scores conservatively as a result. Its vision capability and competitive pricing make it a reasonable option for image-aware content tasks.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
The InternVL3 series is an advanced multimodal large language model (MLLM). Compared to InternVL 2.5, InternVL3 demonstrates stronger multimodal perception and reasoning capabilities. In addition, InternVL3 is benchmarked against the Qwen2.5 Chat models, whose pre-trained base models serve as the initialization for its language component. Benefiting from Native Multimodal Pre-Training, the InternVL3 series surpasses the Qwen2.5 series in overall text performance.
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Other |
| Parameters | 78B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
