OpenGVLab: InternVL3 78B
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.
Context Window
33K
Input Price
$0.1000/M tokens
Output Price
$0.3900/M tokens
Modality
text+image->text
Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001390
~25K
Words Equivalent
~16
Pages of Text
~328
Code Functions
Related Categories:
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