DeepSeek

DeepSeek: DeepSeek V3.1 Terminus

deepseek/deepseek-v3.1-terminus

Access DeepSeek V3.1 Terminus from DeepSeek 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: "deepseek/deepseek-v3.1-terminus"
}).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: "deepseek/deepseek-v3.1-terminus"
        }).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="deepseek/deepseek-v3.1-terminus",
    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": "deepseek/deepseek-v3.1-terminus",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

DeepSeek V3.1-Terminus is the September 2025 refined update to V3.1, addressing user-reported issues like language mixing and improving Code Agent and Search Agent capabilities. It represents the final, most stable version of the V3 architecture before V3.2.

Context Window 164K

tokens

Max Output 33K

tokens

Input Cost $0.27

per million tokens

Output Cost $0.95

per million tokens

Release Date Sep 22, 2025

 

Model Playground

Try DeepSeek V3.1 Terminus instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat deepseek/deepseek-v3.1-terminus
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Chat with DeepSeek V3.1 Terminus
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Benchmarks

How DeepSeek V3.1 Terminus performs on standard evaluations.

Artificial Analysis
Intelligence Index
28.5
Better than 67% of tracked models
Artificial Analysis
Coding Index
31.9
Better than 73% of tracked models
Artificial Analysis
Math Index
53.7
Better than 50% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
75.1%
Humanity's Last Exam Cross-domain reasoning
8.4%
LiveCodeBench Recent coding problems
52.9%
SciCode Scientific programming
32.1%
AIME 2025 Advanced math exam
53.7%
IFBench Instruction following
41.2%
LCR Long-context reasoning
43.3%
Terminal-Bench Hard Agentic terminal tasks
31.8%
τ²-Bench Tool use / agents
37.1%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use DeepSeek V3.1 Terminus?

You can access DeepSeek V3.1 Terminus by DeepSeek 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 Terminus free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek V3.1 Terminus 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 Terminus?
DeepSeek V3.1 Terminus costs $0.27 per 1M input tokens and $0.95 per 1M output tokens.
Price per 1M tokens
Input$0.27
Output$0.95
Who created DeepSeek V3.1 Terminus?

DeepSeek V3.1 Terminus was created by DeepSeek and released on Sep 22, 2025.

What is the context window of DeepSeek V3.1 Terminus?

DeepSeek V3.1 Terminus supports a context window of 164K tokens. For reference, that is roughly equivalent to 328 pages of text.

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

DeepSeek V3.1 Terminus can generate up to 33K tokens in a single response.

How does DeepSeek V3.1 Terminus perform on benchmarks?

DeepSeek V3.1 Terminus scores 28.5 on the Artificial Analysis Intelligence Index, outperforming 67% of tracked models. On coding, it scores 31.9 (outperforms 73% of models). On math, it scores 53.7 (outperforms 50% of models).

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

Yes — the DeepSeek V3.1 Terminus 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 Terminus to your app without worrying about API keys or setup.

Read the Docs View Tutorials