Deep Cogito: Cogito V2 Preview Llama 405B

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Cogito V2 Preview Llama 405B is a dense large language model built on Llama architecture and developed by DeepCogito using Iterated Distillation and Amplification (IDA), a training approach that internalizes reasoning capabilities directly into model weights.

As DeepCogito's largest dense offering in the v2 preview series, it delivers near-frontier performance among open models across coding, STEM, general instruction following, and multilingual tasks (30+ languages). It supports a 128K context window.

The model operates in both standard and self-reflective reasoning modes, with reasoning chains notably shorter than DeepSeek R1 by approximately 60%. Well-suited for high-accuracy API use cases where latency is less constrained.

Context Window N/A

tokens

Max Output N/A

tokens

Input Cost $3.5

per million tokens

Output Cost $3.5

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 405B?

You can access Cogito V2 Preview Llama 405B 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 405B 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 405B 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 405B?
Pricing for Cogito V2 Preview Llama 405B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$3.5
Output$3.5
Who created Cogito V2 Preview Llama 405B?

Cogito V2 Preview Llama 405B 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 405B 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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