Poolside: Laguna M.1
poolside/laguna-m.1:free
Access Laguna M.1 from Poolside 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: "poolside/laguna-m.1: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: "poolside/laguna-m.1: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="poolside/laguna-m.1: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": "poolside/laguna-m.1:free",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Laguna M.1 is Poolside's flagship agentic coding model, built for complex, long-horizon software engineering tasks. It's a 225B-parameter Mixture-of-Experts model with 23B activated parameters, offering a 128K context window and support for tool calling and reasoning.
On SWE-bench Verified it scores 72.5%, and it reaches 46.9% on the harder SWE-bench Pro. These results place it in the same tier as far larger models like Qwen3.5 and DeepSeek V4-Flash while using a fraction of the active compute.
Laguna M.1 is purpose-built for agentic workflows — writing code, running tests, inspecting failures, and iterating across files. If you need a model that can plan and execute multi-step engineering tasks end to end, this is Poolside's strongest option.
Context Window 131K
tokens
Max Output 8K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date Apr 28, 2026
Model Playground
Try Laguna M.1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Poolside
Frequently Asked Questions
You can access Laguna M.1 by Poolside 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 Laguna M.1 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 |
Laguna M.1 was created by Poolside and released on Apr 28, 2026.
Laguna M.1 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Laguna M.1 can generate up to 8K tokens in a single response.
Yes — the Laguna M.1 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 Laguna M.1 to your app without worrying about API keys or setup.
Read the Docs View Tutorials