Dots Studio: Dots3-Note Preview
dots-studio/dots-3-note-preview:free
Access Dots3-Note Preview from Dots Studio 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: "dots-studio/dots-3-note-preview:free"
}).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: "dots-studio/dots-3-note-preview:free"
}).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="dots-studio/dots-3-note-preview:free",
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": "dots-studio/dots-3-note-preview:free",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Dots3-Note Preview is a multimodal mixture-of-experts model from Dots Studio, the AI lab at Xiaohongshu (RedNote), also behind the dots.llm and dots.ocr models released under the rednote-hilab name. It has 280 billion total parameters, 16 billion active per token, and accepts text, image, video, and audio input.
The model introduces TEMPO, a reinforcement learning method for long-horizon agent tasks. It periodically checks its own progress and updates its memory while working, targeting agents that operate over hours.
Dots Studio reports 78.4% on SWE-bench Verified and 79.1% on MMMU Pro, and says a checkpoint scored a perfect 42/42 on the 2026 International Mathematical Olympiad, matching Huawei's Celia and beating Gemini Deep Think's 35/42 at the same event. These are vendor-reported figures, not yet independently verified.
This free-tier listing is served through OpenRouter, with a 512K-token context window suited to long documents, codebases, and multi-step agent workflows.
Context Window 512K
tokens
Max Output 512K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date Aug 14, 2026
Model Playground
Try Dots3-Note Preview instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
You can access Dots3-Note Preview by Dots Studio 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 Dots3-Note Preview 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 |
| Output | $0 |
Dots3-Note Preview was created by Dots Studio and released on Aug 14, 2026.
Dots3-Note Preview supports a context window of 512K tokens. For reference, that is roughly equivalent to 1,024 pages of text.
Dots3-Note Preview can generate up to 512K tokens in a single response.
Yes — the Dots3-Note Preview 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 Dots3-Note Preview to your app without worrying about API keys or setup.
Read the Docs View Tutorials