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Model details

Qwen3 VL Thinking

Qwen3 VL Thinking belongs to Alibaba's Qwen model family and brings together visual understanding with deliberate reasoning capabilities. The VL designation signals that this model can process images alongside text, making it suitable for tasks that require interpreting diagrams, documents, photographs, or visual charts while maintaining coherent conversational reasoning. The Thinking qualifier suggests an architecture designed to work through complex problems step-by-step rather than jumping to quick conclusions, which can be valuable when handling multi-step analysis or nuanced visual question answering.

As an open-weights model, Qwen3 VL Thinking is accessible for developers and researchers who want to run, fine-tune, or experiment with a vision-language model without relying on proprietary APIs. This openness enables local deployment and customization for specific use cases, from building document understanding pipelines to creating interactive visual assistants. The model's combination of image processing and reasoning positions it as a practical tool for applications that need both visual context interpretation and thoughtful, methodical response generation.

Vercel AI Gatewayalibaba/qwen3-vl-thinkingqwen

Quick Info

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Provider
Vercel AI Gateway
Model key
alibaba/qwen3-vl-thinking
Release date
Sep 23, 2025
Last updated
Sep 24, 2025
Knowledge cutoff
2025-09
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.40
Output token cost
$4.00

Limits

Output tokens
32,768 tokens
Context window
131,072 tokens

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