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Poolside

Poolside: Laguna S 2.1

Access Laguna S 2.1 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-s-2.1"
}).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-s-2.1"
        }).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-s-2.1",
    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-s-2.1",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Laguna S 2.1 is Poolside's mid-size agentic coding model, sitting between the Laguna XS and M families. It's a 118B-parameter Mixture-of-Experts model with 8B activated parameters, released under the OpenMDW-1.1 license with a 1M-token context window.

It scores 78.5% on SWE-bench Multilingual, 59.4% on SWE-bench Pro, and 70.2% on Terminal-Bench 2.1. Poolside reports these results match or exceed models with two to eight times as many active parameters, including DeepSeek-V4-Flash and NVIDIA's Nemotron 3 Ultra.

Laguna S 2.1 supports tool calling, thinking mode, and multi-step reasoning for agentic coding workflows. It suits developers who need stronger coding performance than XS 2.1 without the cost of the larger M.1 model.

Context Window 1M

tokens

Max Output 131K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.2

per million tokens

Release Date Jul 21, 2026

 

Model Playground

Try Laguna S 2.1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat poolside/laguna-s-2.1
Poolside
Chat with Laguna S 2.1
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More AI Models From Poolside

Find other Poolside models

Chat

Laguna XS 2.1

Laguna XS 2.1 is Poolside's updated compact agentic coding model, a 33B-parameter Mixture-of-Experts architecture with 3B activated parameters, released under the OpenMDW-1.1 license as a successor to Laguna XS.2. It scores 70.9% on SWE-bench Verified, 63.1% on SWE-bench Multilingual, 47.6% on SWE-bench Pro, and 37.5% on Terminal-Bench 2.0, each an improvement over XS.2, with the largest gain (+5.4 points) on the multilingual benchmark. It trails larger models like Qwen3.6-35B-A3B on multilingual coding but stays competitive within its size class. The model keeps the same 262K context window, tool calling, and reasoning support as its predecessor. It suits developers already using Laguna XS.2 who want incremental gains on multilingual and terminal-style coding tasks without moving to a larger model.

Chat

Laguna M.1

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.

Frequently Asked Questions

How do I use Laguna S 2.1?

You can access Laguna S 2.1 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.

Is Laguna S 2.1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Laguna S 2.1 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Laguna S 2.1?
Laguna S 2.1 costs $0.1 per 1M input tokens and $0.2 per 1M output tokens.
Price per 1M tokens
Input$0.1
Output$0.2
Who created Laguna S 2.1?

Laguna S 2.1 was created by Poolside and released on Jul 21, 2026.

What is the context window of Laguna S 2.1?

Laguna S 2.1 supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.

What is the max output length of Laguna S 2.1?

Laguna S 2.1 can generate up to 131K tokens in a single response.

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

Yes — the Laguna S 2.1 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 S 2.1 to your app without worrying about API keys or setup.

Read the Docs View Tutorials