DeepSeek: R1 Distill Llama 70B

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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 23, 2025

 

Output Speed 45

tokens / sec

Latency 0.32s

time to first token

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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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?
R1 Distill Llama 70B costs $0.7 per 1M input tokens and $0.8 per 1M output tokens.
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 23, 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.

How does R1 Distill Llama 70B perform on benchmarks?

R1 Distill Llama 70B scores 16.0 on the Artificial Analysis Intelligence Index, outperforming 38% of tracked models. On coding, it scores 11.4 (outperforms 27% of models). On math, it scores 53.7 (outperforms 50% of models).

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.

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