Qwen: Qwen2.5 VL 32B Instruct

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

Created Mar 24, 2025128,000 context

$0.90/M input tokens$0.90/M output tokens

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.

Providers for Qwen2.5 VL 32B Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Apps using Qwen2.5 VL 32B Instruct

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Recent activity on Qwen2.5 VL 32B Instruct

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Uptime stats for Qwen2.5 VL 32B Instruct

Uptime stats for Qwen2.5 VL 32B Instruct across all providers

Sample code and API for Qwen2.5 VL 32B Instruct

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.