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qwen

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.

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

Context Size

128K

Input Price

1,230 Ks/M

Output Price

3,690 Ks/M


Architecture

Text
Image

Supported Parameters

frequency_penaltymax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstoptemperaturetop_ktop_p

Details

TokenizerQwen
Provider Context128K tokens
ModeratedNo