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Model details

QVQ Max

QVQ-Max is a visual reasoning model from Qwen (Alibaba) built to move beyond basic image recognition. Rather than simply identifying objects or scenes, it combines visual perception with logical reasoning, enabling it to tackle complex tasks such as mathematical reasoning over images, multi-image analysis, and video understanding. This approach positions the model as a tool for applications where interpreting visual data requires genuine comprehension rather than pattern matching alone.

The model targets developers and teams building applications that need sophisticated visual understanding, from document and diagram processing to scientific image analysis. With an extensive context window and support for multi-step reasoning, it handles tasks that demand both visual input and layered thinking. Its design fits use cases where users need answers derived from analyzing image sequences or extracting structured information from complex visual content.

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Quick Info

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Provider
Alibaba
Model key
qvq-max
Release date
Mar 25, 2025
Last updated
Mar 25, 2025
Knowledge cutoff
2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.20
Output token cost
$4.80

Limits

Output tokens
8,192 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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