Nex AGI: DeepSeek V3.1 Nex N1

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DeepSeek V3.1 Nex N1 is an agentic large language model post-trained by Nex AGI on top of DeepSeek's V3.1 base, built specifically for autonomous task execution, tool use, and multi-step workflows. It uses a 670B-parameter Mixture of Experts architecture with 37B activated parameters per token and supports a 131K context window.

The model is optimized for agent-oriented use cases: function calling, web search integration, code generation, and complex planning tasks. It performs well on agentic benchmarks including SWE-bench, GAIA 2, BFCL, and Terminal-Bench, with particular strength in practical coding and HTML generation.

Nex N1 is a strong pick for developers building AI agents, research assistants, or automated pipelines that need reliable tool use and multi-hop reasoning at an accessible price point.

Context Window 131K

tokens

Max Output 164K

tokens

Input Cost $0.14

per million tokens

Output Cost $0.5

per million tokens

Release Date Dec 8, 2025

 

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Nex N2 Pro

Nex N2 Pro is an open-source agentic mixture-of-experts language model from Nex AGI, post-trained on top of Qwen3.5-397B-A17B with 17B active parameters out of 397B total, released in June 2026 under an Apache 2.0 license. Built around an Agentic Thinking framework, the model unifies reasoning, tool use, and environment execution into a single closed loop — covering requirement understanding, task planning, code implementation, debugging, and iterative refinement. It supports function calling, structured outputs, and reasoning traces, and accepts both text and image inputs. Nex N2 Pro excels at coding, terminal execution, deep research, and long-horizon agentic workflows. Reported benchmarks include 75.3 on Terminal-Bench 2.1 and 90.7 on GPQA Diamond. With a 262K context window, it is a strong option for developers building agents, coding assistants, or multi-step automation pipelines.

Frequently Asked Questions

How do I use DeepSeek V3.1 Nex N1?

You can access DeepSeek V3.1 Nex N1 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 DeepSeek V3.1 Nex N1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V3.1 Nex N1 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 DeepSeek V3.1 Nex N1?
DeepSeek V3.1 Nex N1 costs $0.14 per 1M input tokens and $0.5 per 1M output tokens.
Price per 1M tokens
Input$0.14
Output$0.5
Who created DeepSeek V3.1 Nex N1?

DeepSeek V3.1 Nex N1 was created by Nex AGI and released on Dec 8, 2025.

What is the context window of DeepSeek V3.1 Nex N1?

DeepSeek V3.1 Nex N1 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of DeepSeek V3.1 Nex N1?

DeepSeek V3.1 Nex N1 can generate up to 164K tokens in a single response.

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

Yes — the DeepSeek V3.1 Nex N1 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.

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