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
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
R1 Distill Llama 70B is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.7 |
| Output | $0.8 |
R1 Distill Llama 70B was created by DeepSeek and released on Jan 23, 2025.
R1 Distill Llama 70B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
R1 Distill Llama 70B can generate up to 16K tokens in a single response.
R1 Distill Llama 70B scores 7.9 on the Artificial Analysis Intelligence Index, outperforming 30% of tracked models. On math, it scores 53.7 (outperforms 50% of models).
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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