Qwen: Qwen2.5 VL 32B Instruct
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code generation.
Context Window
16K
Input Price
$0.0500/M tokens
Output Price
$0.2200/M tokens
Modality
text+image->text
Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000720
~12K
Words Equivalent
~8
Pages of Text
~164
Code Functions
Related Categories:
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