AlibabaPaidOperational
Qwen VL OCR
API model name: qwen-vl-ocr
Qwen VL OCR is Alibaba's image generation model, served on the Api.Airforce unified API. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.
Pricing
Api.Airforce price vs. the provider's official rate.
Specifications
- Provider
- Alibaba
- Type
- image generation model
What is Qwen VL OCR used for?
- Image generation — marketing visuals, concept art, product shots and illustrations.
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Qwen VL OCR — frequently asked questions
- How much does Qwen VL OCR cost?
- Qwen VL OCR is billed per generation rather than per token. See the pricing page for the current rate.
- What can Qwen VL OCR do?
- Qwen VL OCR is Alibaba's image generation model, accessible through the Api.Airforce API.
- Is Qwen VL OCR free to use?
- Qwen VL OCR is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
- How do I use Qwen VL OCR via the API?
- Qwen VL OCR is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID qwen-vl-ocr with your Api.Airforce API key.
- Who makes Qwen VL OCR?
- Qwen VL OCR is Alibaba's image generation model, served through the unified Api.Airforce gateway alongside 100+ other models.
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Use Qwen VL OCR via the API
OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass qwen-vl-ocr as the model.
cURL
curl https://api.airforce/v1/images/generations \
-H "Authorization: Bearer $AIRFORCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen-vl-ocr",
"prompt": "a red panda coding"
}'Python
from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
img = client.images.generate(model="qwen-vl-ocr", prompt="a red panda coding")
print(img.data[0].url)JavaScript
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const img = await client.images.generate({ model: "qwen-vl-ocr", prompt: "a red panda coding" });
console.log(img.data[0].url);