Deep Cogito: Cogito V2 Preview Llama 70B

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Cogito V2 Preview Llama 70B is a dense language model built on Llama architecture and trained by DeepCogito using Iterated Distillation and Amplification (IDA), which embeds reasoning ability into model weights to improve standard-mode performance without requiring extended chain-of-thought.

It supports dual-mode operation — direct response or self-reflective reasoning — controlled via the system prompt. In standard mode, it achieves 91.73% on MMLU, outperforming Llama 3.3 70B by 6.4 points. It covers 30+ languages and supports a 128K context window with tool calling in both modes.

Well-suited for API deployments requiring a balance of speed, cost efficiency, and strong reasoning on coding, STEM, and instruction-following tasks.

Context Window N/A

tokens

Max Output N/A

tokens

Input Cost $0.88

per million tokens

Output Cost $0.88

per million tokens

Release Date May 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>

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Cogito v2.1 671B

Cogito v2.1 671B is a 671-billion-parameter Mixture-of-Experts language model from DeepCogito, with 37 billion parameters active per forward pass. Built with reinforcement learning via self-play, it excels at instruction following, coding, complex reasoning, multi-turn dialogue, and creative writing. It features a hybrid reasoning mode that produces results comparable to or better than DeepSeek R1 while using roughly 60% fewer reasoning tokens. It supports a 128K context window and 30+ languages. Benchmark highlights include 98.57% on MATH-500, 77.72% on GPQA Diamond, 84.69% on MMLU Pro, and 89.47% on AIME 2025. A strong open-weight choice for agents, coding assistants, or math-heavy applications needing frontier-level performance with token-efficient reasoning.

Frequently Asked Questions

How do I use Cogito V2 Preview Llama 70B?

You can access Cogito V2 Preview Llama 70B by Deep Cogito 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 Cogito V2 Preview Llama 70B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Cogito V2 Preview 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 Cogito V2 Preview Llama 70B?
Pricing for Cogito V2 Preview Llama 70B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.88
Output$0.88
Who created Cogito V2 Preview Llama 70B?

Cogito V2 Preview Llama 70B was created by Deep Cogito and released on May 1, 2025.

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

Yes — the Cogito V2 Preview 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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