Qwen: Qwen3 VL 8B Thinking
qwen/qwen3-vl-8b-thinking
Access Qwen3 VL 8B 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-8b-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-8b-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-8b-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-8b-thinking",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Qwen3 VL 8B Thinking is the reasoning-enhanced compact vision model for complex visual analysis requiring step-by-step reasoning with efficient resource usage.
Context Window 131K
tokens
Max Output 33K
tokens
Input Cost $0.18
per million tokens
Output Cost $2.1
per million tokens
Release Date Oct 14, 2025
Model Playground
Try Qwen3 VL 8B Thinking instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Qwen3 VL 8B Thinking performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 57.9% |
| Humanity's Last Exam Cross-domain reasoning | 3.8% |
| LiveCodeBench Recent coding problems | 35.3% |
| AIME 2025 Advanced math exam | 30.7% |
| IFBench Instruction following | 39.9% |
| LCR Long-context reasoning | 33.3% |
| Terminal-Bench Hard Agentic terminal tasks | 3.8% |
| τ²-Bench Tool use / agents | 22.5% |
Scores sourced from Artificial Analysis.
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ChatQwen3.6 27B
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Frequently Asked Questions
You can access Qwen3 VL 8B 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3 VL 8B 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.
| Price per 1M tokens | |
|---|---|
| Input | $0.18 |
| Output | $2.1 |
Qwen3 VL 8B Thinking was created by Qwen and released on Oct 14, 2025.
Qwen3 VL 8B Thinking supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Qwen3 VL 8B Thinking can generate up to 33K tokens in a single response.
Qwen3 VL 8B Thinking scores 4.9 on the Artificial Analysis Intelligence Index, outperforming 34% of tracked models. On math, it scores 30.7 (outperforms 31% of models).
Yes — the Qwen3 VL 8B 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 8B Thinking to your app without worrying about API keys or setup.
Read the Docs View Tutorials