Nex AGI

Nex AGI: Nex N2 Mini

nex-agi/nex-n2-mini

Access Nex N2 Mini from Nex AGI 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: "nex-agi/nex-n2-mini"
}).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: "nex-agi/nex-n2-mini"
        }).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="nex-agi/nex-n2-mini",
    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": "nex-agi/nex-n2-mini",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Nex N2 Mini is Nex AGI's smaller agentic model in the Nex N2 family, built on a Qwen3.5 base with 35B total parameters and 3B active per token, released open-source under Apache 2.0 alongside the larger Nex N2 Pro.

It shares Nex N2 Pro's Agentic Thinking framework, pairing Adaptive Thinking, deciding on its own when and how deeply to reason, with Coherent Thinking, a consistent reasoning approach carried across general and agentic tasks. It supports a 262K context window and function calling.

On benchmarks it scores 50.2 on SWE-Bench Pro, 60.7 on Terminal-Bench 2.1, 82.6 on GPQA Diamond, and 74.1 on BrowseComp, below Nex N2 Pro's 58.8, 75.3, and 90.7 on the same tests but at a fraction of the price.

It fits developers who want Nex N2's agentic coding and tool-calling behavior for lighter, latency-sensitive, or budget-constrained workloads rather than maximum accuracy.

Context Window 262K

tokens

Max Output 262K

tokens

Input Cost $0.03

per million tokens

Output Cost $0.1

per million tokens

Release Date Jun 24, 2026

 

Model Playground

Try Nex N2 Mini instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat nex-agi/nex-n2-mini
Nex AGI
Chat with Nex N2 Mini
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Frequently Asked Questions

How do I use Nex N2 Mini?

You can access Nex N2 Mini by Nex AGI 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 Nex N2 Mini free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Nex N2 Mini 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 Nex N2 Mini?
Nex N2 Mini costs $0.03 per 1M input tokens and $0.1 per 1M output tokens.
Price per 1M tokens
Input$0.03
Output$0.1
Who created Nex N2 Mini?

Nex N2 Mini was created by Nex AGI and released on Jun 24, 2026.

What is the context window of Nex N2 Mini?

Nex N2 Mini supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of Nex N2 Mini?

Nex N2 Mini can generate up to 262K tokens in a single response.

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

Yes — the Nex N2 Mini 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 Nex N2 Mini to your app without worrying about API keys or setup.

Read the Docs View Tutorials