Search/
Skip to content
/

Qwen: Qwen2.5 VL 32B Instruct

qwen/qwen2.5-vl-32b-instruct

Created Mar 24, 202532,768 context

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.

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Models
  • Providers
  • Pricing
  • Enterprise

Company

  • About
  • Announcements
  • CareersHiring
  • Partners
  • Privacy
  • Terms of Service
  • Support
  • State of AI
  • Works With OR

Developer

  • Documentation
  • API Reference
  • SDK
  • Status

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube

Recent activity on Qwen2.5 VL 32B Instruct

Total usage per day on OpenRouter

Prompt
71.5M
Completion
3.54M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.