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Qwentext+image->text

Qwen: Qwen3 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.

Context Window

262K

Input Price

$0.5000/M tokens

Output Price

$1.50/M tokens

Modality

text+image->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.5000/M tokens
Output$1.50/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.006500

Context Window Size
Maximum tokens the model can process in a single request
Context Window262K tokens
26% of 1M max

~197K

Words Equivalent

~131

Pages of Text

~2621

Code Functions

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

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