Qwen2.5-VL 7B Instruct (HF)

huggingface
Multimodal

Alibaba Qwen2.5-VL 7B via Hugging Face Inference. Open-weights image-text-to-text model with improved OCR, chart and table reading, object grounding and long-document understanding.

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TL;DRΒ·Last updated June 24, 2026

Qwen2.5-VL 7B Instruct (HF) is multimodal AI model from huggingface, priced at €0.000 per 1M input tokens with a 32.8K tokens context window.

About this model

Qwen2.5-VL 7B Instruct is the 2.5 generation of Alibaba's vision-language family, accessed through the Hugging Face serverless image-text-to-text pipeline. Compared with Qwen2-VL it improves OCR across languages, chart and table parsing, visual grounding with bounding boxes, and understanding of long documents and longer videos. Suitable for document extraction, UI understanding and image-grounded chat where open weights are required.
Try Qwen2.5-VL 7B Instruct (HF)

0.7

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Pricing

Price per Generation
Per generation€0.007

API Integration

Use our OpenAI-compatible API to integrate Qwen2.5-VL 7B Instruct (HF) into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple β€” just pass a string
const reply = await rw.run("qwen2-5-vl-7b-instruct-hf", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("qwen2-5-vl-7b-instruct-hf", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("qwen2-5-vl-7b-instruct-hf", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Price
€0.007
Context window
32,768 tokens
Max output
4,096 tokens
Developer
huggingface
Category
Multimodal
Supported Formats
text
image
Tags
huggingface
qwen
alibaba
vision-understanding
open-weights
ocr
grounding

Frequently asked questions

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