DeepSeek

DeepSeek: R1

deepseek/deepseek-r1

Access R1 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-r1"
}).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-r1"
        }).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-r1",
    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-r1",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

DeepSeek R1 is DeepSeek's first-generation reasoning model released January 2025, trained via large-scale reinforcement learning to achieve performance comparable to OpenAI o1 on math, code, and reasoning tasks. It pioneered open-source reasoning capabilities with self-verification and reflection behaviors.

Context Window 64K

tokens

Max Output 16K

tokens

Input Cost $0.7

per million tokens

Output Cost $2.5

per million tokens

Release Date Jan 20, 2025

 

Model Playground

Try R1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat deepseek/deepseek-r1
DeepSeek
Chat with R1
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Benchmarks

How R1 performs on standard evaluations.

Artificial Analysis
Intelligence Index
27.1
Better than 69% of tracked models
Artificial Analysis
Coding Index
24.0
Better than 63% of tracked models
Artificial Analysis
Math Index
76.0
Better than 71% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
81.3%
Humanity's Last Exam Cross-domain reasoning
14.9%
LiveCodeBench Recent coding problems
77.0%
SciCode Scientific programming
40.3%
MATH-500 Competition math
98.3%
AIME 2024 Advanced math exam
89.3%
AIME 2025 Advanced math exam
76.0%
IFBench Instruction following
39.6%
LCR Long-context reasoning
54.7%
Terminal-Bench Hard Agentic terminal tasks
15.9%
τ²-Bench Tool use / agents
36.5%

Scores sourced from Artificial Analysis.

Find other DeepSeek models →

Chat

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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.

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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.

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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 R1?

You can access R1 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 R1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add R1 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 R1?
Pricing for R1 is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.7
Output$2.5
Who created R1?

R1 was created by DeepSeek and released on Jan 20, 2025.

What is the context window of R1?

R1 supports a context window of 64K tokens. For reference, that is roughly equivalent to 128 pages of text.

What is the max output length of R1?

R1 can generate up to 16K tokens in a single response.

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

Yes — the R1 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 R1 to your app without worrying about API keys or setup.

Read the Docs View Tutorials