
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.
Modalities
Price
Free
Context
33K
Released
Mar 24, 2025
Knowledge Cutoff
Jun 2024
Token volume and request traffic to this model over time.
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.
Yes. The pricing shown on this page for Qwen2.5 VL 32B Instruct is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.
Qwen2.5 VL 32B Instruct has a 32,768 token context window.
Qwen2.5 VL 32B Instruct accepts text and images as input and returns text.
Qwen3.8 Flash, Qwen3.8 27B, Qwen3.8 2.4T A95B and 48 more are other text models from Qwen.
Qwen2.5 VL 32B Instruct was released on March 24, 2025. Its knowledge cutoff is June 30, 2024.