Qwen: Qwen VL Max

qwen/qwen-vl-max

qwen/qwen-vl-max-2025-01-25

Created Feb 1, 20257,500 context

$0.80/M input tokens$3.20/M output tokens$1.024/K input imgs

Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.

Qwen: Qwen VL Max

qwen/qwen-vl-max

qwen/qwen-vl-max-2025-01-25

Created Feb 1, 20257,500 context

$0.80/M input tokens$3.20/M output tokens$1.024/K input imgs

Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.

Sample code and API for Qwen VL Max

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.