DeepSeek

DeepSeek: DeepSeek Reasoner

deepseek/deepseek-reasoner

Access DeepSeek Reasoner 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-reasoner"
}).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-reasoner"
        }).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-reasoner",
    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-reasoner",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

DeepSeek Reasoner is the API alias for DeepSeek's reasoning models (R1 series), which use chain-of-thought reasoning to solve complex math, coding, and logic problems. It displays its thinking process before arriving at answers and achieves performance comparable to OpenAI o1.

Context Window 128K

tokens

Max Output 64K

tokens

Input Cost $0.56

per million tokens

Output Cost $1.68

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff Jul 2024

 

Release Date Jan 20, 2025

 

Model Playground

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

Chat deepseek/deepseek-reasoner
DeepSeek
Chat with DeepSeek Reasoner
Powered by Puter.js

More AI Models From DeepSeek

Find other DeepSeek models →

Chat

DeepSeek V3.2

DeepSeek V3.2 is the December 2025 flagship model featuring DeepSeek Sparse Attention for efficiency and massive reinforcement learning post-training, achieving GPT-5-level performance. It's the first DeepSeek model to integrate thinking directly into tool-use and excels at agentic AI tasks.

 Chat

DeepSeek V3.2 Speciale

DeepSeek V3.2-Speciale is a high-compute variant designed exclusively for maximum reasoning accuracy, achieving gold-medal performance in IMO 2025, IOI 2025, and ICPC World Finals. It rivals Gemini 3.0 Pro but requires higher token usage and doesn't support tool calling.

 Chat

DeepSeek V3.2 Exp

DeepSeek V3.2-Exp is the September 2025 experimental predecessor to V3.2, introducing DeepSeek Sparse Attention architecture through continued training on V3.1-Terminus. It served as a testing ground for the sparse attention innovations later refined in V3.2.

Frequently Asked Questions

How do I use DeepSeek Reasoner?

You can access DeepSeek Reasoner 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 Reasoner free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek Reasoner 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 Reasoner?
Pricing for DeepSeek Reasoner is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.56
Output$1.68
Who created DeepSeek Reasoner?

DeepSeek Reasoner was created by DeepSeek and released on Jan 20, 2025.

What is the context window of DeepSeek Reasoner?

DeepSeek Reasoner supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.

What is the max output length of DeepSeek Reasoner?

DeepSeek Reasoner can generate up to 64K tokens in a single response.

What is the knowledge cutoff of DeepSeek Reasoner?

DeepSeek Reasoner has a knowledge cutoff date of Jul 2024. This means the model was trained on data available up to that date.

What types of input can DeepSeek Reasoner process?

DeepSeek Reasoner accepts the following input types: text. It produces: text.

Does DeepSeek Reasoner support tool use (function calling)?

Yes, DeepSeek Reasoner supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

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

Yes — the DeepSeek Reasoner 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 Reasoner to your app without worrying about API keys or setup.

Read the Docs View Tutorials