Qwen: Qwen3 VL 30B A3B Thinking

Q: Is Qwen3 VL 30B A3B Thinking free?

Yes, it is free if you're using it through Puter.js . With the User-Pays Model , you can add Qwen3 VL 30B A3B Thinking to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

qwen/qwen3-vl-30b-a3b-thinking

Access Qwen3 VL 30B A3B Thinking from Qwen using Puter.js AI API.

Get Started

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "qwen/qwen3-vl-30b-a3b-thinking"
}).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/qwen3-vl-30b-a3b-thinking"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-thinking",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "qwen/qwen3-vl-30b-a3b-thinking",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Qwen3 VL 30B A3B Thinking is the reasoning-enhanced vision-language variant optimized for complex visual reasoning tasks with extended thinking capabilities.

Context Window 131K

tokens

Max Output 33K

tokens

Input Cost $0.13

per million tokens

Output Cost $1.56

per million tokens

Release Date Oct 6, 2025

Output Speed 128

tokens / sec

Latency 1.15s

time to first token

Model Playground

Try Qwen3 VL 30B A3B Thinking instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat qwen/qwen3-vl-30b-a3b-thinking

Chat with Qwen3 VL 30B A3B Thinking

Benchmarks

How Qwen3 VL 30B A3B Thinking performs on standard evaluations.

Artificial Analysis

Intelligence Index

19.7

Better than 50% of tracked models

Artificial Analysis

Coding Index

13.1

Better than 30% of tracked models

Artificial Analysis

Math Index

82.3

Better than 78% of tracked models

Benchmark	Score
GPQA Diamond Graduate-level science Q&A	72.0%
Humanity's Last Exam Cross-domain reasoning	8.7%
LiveCodeBench Recent coding problems	69.7%
SciCode Scientific programming	28.8%
AIME 2025 Advanced math exam	82.3%
IFBench Instruction following	45.1%
LCR Long-context reasoning	40.7%
Terminal-Bench Hard Agentic terminal tasks	5.3%
τ²-Bench Tool use / agents	19.9%

Scores sourced from Artificial Analysis.

Find other Qwen models →

Chat

Qwen3.7 Plus

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.

Chat

Qwen3.7 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.

Chat

Qwen3.6 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

How do I use Qwen3 VL 30B A3B Thinking?

You can access Qwen3 VL 30B A3B Thinking 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.

Is Qwen3 VL 30B A3B Thinking free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3 VL 30B A3B Thinking to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking costs $0.13 per 1M input tokens and $1.56 per 1M output tokens.

	Price per 1M tokens
Input	$0.13
Output	$1.56

Who created Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking was created by Qwen and released on Oct 6, 2025.

What is the context window of Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking can generate up to 33K tokens in a single response.

How does Qwen3 VL 30B A3B Thinking perform on benchmarks?

Qwen3 VL 30B A3B Thinking scores 19.7 on the Artificial Analysis Intelligence Index, outperforming 50% of tracked models. On coding, it scores 13.1 (outperforms 30% of models). On math, it scores 82.3 (outperforms 78% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Qwen3 VL 30B A3B Thinking 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.

Get started with Puter.js

Add Qwen3 VL 30B A3B Thinking to your app without worrying about API keys or setup.

Read the Docs View Tutorials