Nex AGI: DeepSeek V3.1 Nex N1

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Model Card

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>

Frequently Asked Questions

How do I use DeepSeek V3.1 Nex N1?

DeepSeek V3.1 Nex N1 is no longer available through Puter.js. Explore other AI models for alternatives.

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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