qwen-image
The qwen image api (Qwen-VL-Max) is a frontier vision-language model by Alibaba. It excels at high-resolution OCR, precise visual grounding with bounding boxes, and complex video analysis, outperforming GPT-4o in mathematical reasoning.

$ 0.0315
$ 0.035

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Core Features of the Qwen Image API

The qwen image api provides specialized tools for high-resolution document extraction and visual reasoning.

Precise Visual Grounding

Outputs exact bounding box coordinates for objects, enabling advanced visual search and UI automation.

realism, a young scholar with glasses, wearing a tweed blazer, sits in a grand, ancient library. Sunlight streams through a massive arched window, illuminating dust motes dancing in the air. An open book rests on her lap as she looks up thoughtfully. Warm and cozy atmosphere, light academia aesthetic, narrative lighting, photorealistic.

Prompt
Precise Visual Grounding
After

20+ Minute Video Analysis

Analyzes long-duration video through dynamic sampling for temporal event detection and summarization.

realism, a young woman sitting alone in a laundromat at midnight, wearing headphones, staring at the rotating dryer drum, neon reflections on the glass, a subtle expression of nostalgia on her face

Prompt
20+ Minute Video Analysis
After

Complex Chart Reasoning

Interprets graphs, tables, and mathematical formulas with state-of-the-art accuracy on MathVista.

A glamorous woman with a sharp bob haircut and dark lipstick. She is dressed in a stunning black and gold sequined flapper dress with long pearls. She leans against a gilded Art Deco bar, with a jazz band softly blurred in the background. Sophisticated, low-key lighting creates a luxurious and intimate mood, Great Gatsby era, glamorous, geometric patterns.

Prompt
Complex Chart Reasoning
After

Native High-Res OCR

Preserves clarity for small text in complex layouts, outperforming standard LLMs on dense document extraction.

A man in a suit is standing in front of the window, looking at the bright moon outside the window. The man is holding a yellowed paper with handwritten words on it: "A lantern moon climbs through the silver night, Unfurling quiet dreams across the sky, Each star a whispered promise wrapped in light, That dawn will bloom, though darkness wanders by." There is a cute cat on the windowsill.

Prompt
Native High-Res OCR
After

How to Get a qwen-image API Key

Getting a qwen-image API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.0315 it's a cheaper qwen-image API key than going direct, and one key works across every model on the platform. Full qwen-image Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including qwen-image, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to qwen-image.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to qwen-image via GPT Proto and see instant AI-powered results.

Get API Key

Qwen Image API: Frequently Asked Questions

Common questions about implementing the qwen image api for OCR, document understanding, and visual grounding tasks on GPTProto.

How does the qwen image api handle high-res documents?

Unlike models that downscale images, the qwen image api supports variable input resolutions. This allows the qwen api to preserve the sharpness of small fonts and intricate details in architectural drawings or dense academic papers, leading to superior OCR accuracy compared to fixed-grid models.

Can the qwen api process long-form video content?

Yes, the qwen image api is capable of analyzing videos longer than 20 minutes. It uses dynamic frame sampling to perform temporal reasoning, allowing users to ask questions about specific events or patterns occurring across long durations of footage.

Is the qwen image api compatible with OpenAI SDKs?

Absolutely. We provide an OpenAI-compatible endpoint for the qwen image api. You can use your existing Python or Node.js OpenAI client by simply updating the base URL and setting the model name to qwen-image, making integration effortless.

What is the pricing structure for the qwen image api?

The qwen image api is highly cost-effective, with both input and output priced at approximately $2.80 per 1M tokens. This is significantly more affordable than Claude 3.5 Sonnet, especially for high-volume tasks like bulk document extraction or large-scale OCR.

Does the qwen api support visual grounding coordinates?

Yes, the qwen image api can output precise normalized coordinates [ymin, xmin, ymax, xmax] for objects it detects. This makes the qwen api perfect for building visual search engines, automated safety auditing, or UI interaction tools.

Is data sent to the qwen image api used for training?

No. Data submitted through the GPTProto qwen image api is not used for model training. We prioritize enterprise-grade privacy, ensuring that your images and prompts remain confidential and secure at all times.

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Further Reading

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