Nex AGI: DeepSeek V3.1 Nex N1
nex-agi/deepseek-v3.1-nex-n1
Access DeepSeek V3.1 Nex N1 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/deepseek-v3.1-nex-n1"
}).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/deepseek-v3.1-nex-n1"
}).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/deepseek-v3.1-nex-n1",
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/deepseek-v3.1-nex-n1",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
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 Nov 18, 2025
Model Playground
Try DeepSeek V3.1 Nex N1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
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.
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.
| Price per 1M tokens | |
|---|---|
| Input | $0.14 |
| Output | $0.5 |
DeepSeek V3.1 Nex N1 was created by Nex AGI and released on Nov 18, 2025.
DeepSeek V3.1 Nex N1 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
DeepSeek V3.1 Nex N1 can generate up to 164K tokens in a single response.
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.
Get started with Puter.js
Add DeepSeek V3.1 Nex N1 to your app without worrying about API keys or setup.
Read the Docs View Tutorials