Native High-Res OCR
Preserves clarity for small text in complex layouts, outperforming standard LLMs on dense document extraction.
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.
Qwen Image pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 30% below list price.
| Scenario | Qwen list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Quick tests & prototypes100 images / mo | $3.50 | $3.69 | $2.45 | −$1.05≈ $12.60 / yr |
| Product & e-commerce photos1,000 images / mo | $35.00 | $36.92 | $24.50 | −$10.50≈ $126.00 / yr |
| Ad / marketing creatives2,500 images / mo | $87.50 | $92.31 | $61.25 | −$26.25≈ $315.00 / yr |
| Social media content10,000 images / mo | $350.00 | $369.25 | $245.00 | −$105.00≈ $1260.00 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
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Qwen ImageCurrent
Qwen · $0.0245 per time · 1K
Model
Price: GPTProto
vs Official
vs OpenRouter
Resolution
Stability
Qwen ImageCurrent
Qwen
$0.02per time
-30%
-34%
1K
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.
20+ Minute Video Analysis
Analyzes long-duration video through dynamic sampling for temporal event detection and summarization.
Complex Chart Reasoning
Interprets graphs, tables, and mathematical formulas with state-of-the-art accuracy on MathVista.
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.
Further Reading
Guides, comparisons, and updates related to this model.
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