Deep Cogito: Cogito V2 Preview Llama 109B

This model is no longer available.

Add AI to your application with Puter.js.

Explore Other Models

Model Card

Cogito V2 Preview Llama 109B MoE is a sparse Mixture-of-Experts language model built on Llama architecture, developed by DeepCogito using their Iterated Distillation and Amplification (IDA) training method.

The MoE design activates only a subset of expert networks per token, delivering strong reasoning at lower per-token compute cost compared to dense models of the same size. It supports dual-mode operation: standard response generation or self-reflective reasoning mode via system prompt.

Optimized for coding, STEM, instruction following, multilingual tasks (30+ languages), and tool calling with a 128K context window. A cost-effective option for API workloads that need strong reasoning without dense-model pricing.

Context Window N/A

tokens

Max Output N/A

tokens

Input Cost $0.18

per million tokens

Output Cost $0.59

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>

More AI Models From Deep Cogito

Find other Deep Cogito models →

Chat

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 109B?

You can access Cogito V2 Preview Llama 109B 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 109B 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 109B 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 109B?
Pricing for Cogito V2 Preview Llama 109B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.18
Output$0.59
Who created Cogito V2 Preview Llama 109B?

Cogito V2 Preview Llama 109B 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 109B 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.

Get started with Puter.js

Add AI to your application without worrying about API keys or setup.

Explore Models View Tutorials