Qwen: Qwen-VL OCR (2025-11-20)
qwen/qwen-vl-ocr-2025-11-20
Try Qwen-VL OCR (2025-11-20) for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "qwen/qwen-vl-ocr-2025-11-20"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "qwen/qwen-vl-ocr-2025-11-20"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen-VL OCR (2025-11-20) is a dated snapshot of Alibaba's Qwen-VL OCR model, a vision-language model for text extraction and document parsing, served through Alibaba Cloud Model Studio.
Alibaba describes it as built on the Qwen3-VL architecture with a full upgrade over earlier OCR snapshots. Its release notes report significant improvements in document parsing and text localization, and lower end-to-end latency with fewer hallucinated outputs. No benchmark scores are published for it.
It accepts image input with text prompts and returns text. It does not support function calling, structured outputs, or context caching. The qwen-vl-ocr-latest alias moved to this snapshot on November 21, 2025, and calling this ID directly keeps behavior fixed.
It suits developers building document digitization and text extraction pipelines who want OCR-focused output at a low per-token price rather than a general-purpose vision model.
Context Window 38K
tokens
Max Output 8K
tokens
Input Cost $0.07
per million tokens
Output Cost $0.16
per million tokens
Input text, image
modalities
Tool Use No
Release Date Nov 21, 2025
Try Qwen-VL OCR (2025-11-20) for free
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This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Qwen
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Qwen3.7 Plus is Alibaba's multimodal agent model, released in June 2026, combining vision-language understanding with full agentic capabilities across a 1 million-token context window. Unlike the text-only Qwen3.7 Max, Plus ingests images and video alongside text, processed through early-fusion training so vision and language are jointly understood from the first layer. This enables GUI grounding — the model can interpret screenshots and issue precise on-screen actions — scoring 79.0 on ScreenSpot Pro, placing it alongside Claude Computer Use and OpenAI Operator in the GUI automation tier. Beyond vision, it adds deep reasoning, self-programming, tool invocation, and autonomous iteration: the model writes and tests code, calls external APIs, and loops until the task is done. On the Artificial Analysis Intelligence Index it scores 53. Choose it over Qwen3.7 Max when your workflow requires image or video inputs, browser/desktop automation, or end-to-end agentic pipelines that combine seeing, reasoning, and doing.
ChatQwen3.7 Max
Qwen3.7 Max is Alibaba's flagship proprietary reasoning model, released in May 2026, built for long-horizon agentic workloads with a 1 million-token context window and a chain-of-thought reasoning architecture. It is purpose-built for complex, multi-step autonomous tasks. Alibaba demonstrated the model running for 35 hours without degradation, executing over 1,000 tool calls in a single session — making it a strong candidate for coding agents, automated pipelines, and deep document analysis. On benchmarks, it ranks 13th globally on LM Arena's text leaderboard and scores 56.6 on the Artificial Analysis Intelligence Index, making it the highest-ranked Chinese model on that index. It posted 90.2 on Arena-Hard v2 and 72.5 on SWE-Bench Verified. Qwen3.7 Max supports the Anthropic API protocol natively, so it integrates cleanly with tooling like Claude Code. It is well-suited for developers building coding assistants, research agents, or any API use case requiring extended reasoning over large contexts.
ChatQwen3.6 Flash
Qwen3.6 Flash is the speed-optimized tier of Alibaba's Qwen3.6 model family, designed for high-throughput, low-latency inference pipelines. It sits alongside Qwen3.6 Max Preview, Plus, and 35B-A3B in the product lineup, targeting use cases where fast response times matter more than peak benchmark scores. Like other Qwen3.6 models, it builds on a hybrid architecture combining linear attention with sparse mixture-of-experts routing. It is best suited for high-volume production workloads such as classification, extraction, summarization, and lightweight agent tasks where latency and cost efficiency are the primary constraints.
Frequently Asked Questions
You can access Qwen-VL OCR (2025-11-20) by Qwen through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Qwen-VL OCR (2025-11-20) is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Qwen-VL OCR (2025-11-20) is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.07 |
| Output | $0.16 |
Qwen-VL OCR (2025-11-20) was created by Qwen and released on Nov 21, 2025.
Qwen-VL OCR (2025-11-20) supports a context window of 38K tokens. For reference, that is roughly equivalent to 76 pages of text.
Qwen-VL OCR (2025-11-20) can generate up to 8K tokens in a single response.
Qwen-VL OCR (2025-11-20) accepts the following input types: text, image. It produces: text.
No, Qwen-VL OCR (2025-11-20) does not currently support tool use (function calling).
Yes — the Qwen-VL OCR (2025-11-20) API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Qwen-VL OCR (2025-11-20) to your app for free
Developers can integrate Qwen-VL OCR (2025-11-20) for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.