TNG Technology: DeepSeek R1T2 Chimera
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DeepSeek R1T2 Chimera is TNG Tech's second-generation 671B parameter tri-parent model assembled from DeepSeek R1-0528, R1, and V3-0324. It runs ~20% faster than R1 and 2x faster than R1-0528 while scoring higher on benchmarks like GPQA and AIME-24, with improved think-token consistency.
Context Window 164K
tokens
Max Output 164K
tokens
Input Cost $0.3
per million tokens
Output Cost $1.1
per million tokens
Release Date Jun 1, 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>
Frequently Asked Questions
You can access DeepSeek R1T2 Chimera by TNG Technology 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add DeepSeek R1T2 Chimera to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.3 |
| Output | $1.1 |
DeepSeek R1T2 Chimera was created by TNG Technology and released on Jun 1, 2025.
DeepSeek R1T2 Chimera supports a context window of 164K tokens. For reference, that is roughly equivalent to 328 pages of text.
DeepSeek R1T2 Chimera can generate up to 164K tokens in a single response.
Yes — the DeepSeek R1T2 Chimera 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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