DeepSeek

DeepSeek: R1 Distill Llama 70B

deepseek/deepseek-r1-distill-llama-70b

Access R1 Distill Llama 70B 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-distill-llama-70b"
}).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-distill-llama-70b"
        }).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-distill-llama-70b",
    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-distill-llama-70b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

DeepSeek R1 Distill Llama 70B is a 70 billion parameter dense model fine-tuned from Llama 3.3-70B-Instruct using 800K reasoning samples generated by DeepSeek R1. It brings R1's reasoning capabilities to a more accessible size while maintaining strong performance on math and coding benchmarks.

Context Window 131K

tokens

Max Output 16K

tokens

Input Cost $0.7

per million tokens

Output Cost $0.8

per million tokens

Release Date Jan 20, 2025

 

Output Speed 42

tokens / sec

Latency 0.48s

time to first token

Model Playground

Try R1 Distill Llama 70B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat deepseek/deepseek-r1-distill-llama-70b
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Chat with R1 Distill Llama 70B
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Benchmarks

How R1 Distill Llama 70B performs on standard evaluations.

Artificial Analysis
Intelligence Index
16.0
Better than 41% of tracked models
Artificial Analysis
Coding Index
11.4
Better than 29% of tracked models
Artificial Analysis
Math Index
53.7
Better than 50% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
40.2%
Humanity's Last Exam Cross-domain reasoning
6.1%
LiveCodeBench Recent coding problems
26.6%
SciCode Scientific programming
31.2%
MATH-500 Competition math
93.5%
AIME 2024 Advanced math exam
67.0%
AIME 2025 Advanced math exam
53.7%
IFBench Instruction following
27.6%
LCR Long-context reasoning
11.0%
Terminal-Bench Hard Agentic terminal tasks
1.5%
τ²-Bench Tool use / agents
21.9%

Scores sourced from Artificial Analysis.

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DeepSeek V3.2 Exp

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Frequently Asked Questions

How do I use R1 Distill Llama 70B?

You can access R1 Distill Llama 70B 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 Distill Llama 70B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add R1 Distill Llama 70B 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 Distill Llama 70B?
Pricing for R1 Distill Llama 70B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.7
Output$0.8
Who created R1 Distill Llama 70B?

R1 Distill Llama 70B was created by DeepSeek and released on Jan 20, 2025.

What is the context window of R1 Distill Llama 70B?

R1 Distill Llama 70B 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 R1 Distill Llama 70B?

R1 Distill Llama 70B can generate up to 16K tokens in a single response.

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

Yes — the R1 Distill Llama 70B 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 Distill Llama 70B to your app without worrying about API keys or setup.

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