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Qwentext+image->text

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

Pricing Breakdown
Cost per million tokens for input and output
Input$0.0500/M tokens
Output$0.2200/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000720

Context Window Size
Maximum tokens the model can process in a single request
Context Window16K tokens
2% of 1M max

~12K

Words Equivalent

~8

Pages of Text

~164

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysisVisionImage-analysisMultimodalData-analysisAnalytics

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