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.
Input
Output
Context
16K
Max Output
16K
Parameters
32B
Technical Specifications
Model TypeVision
Context Window16K
Max Output Tokens16K
Parameters32B
Training Cutoff—
Licenseapache-2.0
Capabilities
Input Modalities
textimage
Output Modalities
text
Features
function_callingjson_modereasoningstreamingtext_generationvision
Benchmarks
#34
Rank (Vision)
+15/-15
arena vision ci 95
1198
Arena Score (Vision)
1,505
Votes (Vision)
Resources & Links
Estimated GPU Requirements for Qwen2.5 VL 32B Instruct
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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