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Opengvlabtext+image->text

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

Pricing Breakdown
Cost per million tokens for input and output
Input$0.1000/M tokens
Output$0.3900/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001390

Context Window Size
Maximum tokens the model can process in a single request
Context Window33K tokens
3% of 1M max

~25K

Words Equivalent

~16

Pages of Text

~328

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysisVisionImage-analysisMultimodalChatConversationAssistant

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