Prime Intellect: INTELLECT-3

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Model Card

INTELLECT-3 is a 106B-parameter Mixture-of-Experts reasoning model from Prime Intellect, with 12B active parameters per forward pass. It was post-trained from GLM-4.5-Air-Base using supervised fine-tuning followed by large-scale reinforcement learning.

The model excels at math, code, science, and multi-step reasoning tasks. It scores 98.1% on MATH-500, 90.8% on AIME 2024, 69.3% on LiveCodeBench v6, and 74.4% on GPQA Diamond — outperforming the base GLM-4.5-Air it was trained from and competing with larger frontier models.

Its MoE architecture keeps inference efficient despite the large total parameter count, making it a strong choice for developers who need high reasoning performance without the cost profile of much larger dense models. Fully open-weight under the MIT license, with a 131K token context window.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $0.2

per million tokens

Output Cost $1.1

per million tokens

Release Date Nov 27, 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

How do I use INTELLECT-3?

INTELLECT-3 is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for INTELLECT-3?

INTELLECT-3 costs $0.2 per 1M input tokens and $1.1 per 1M output tokens.

	Price per 1M tokens
Input	$0.2
Output	$1.1

Who created INTELLECT-3?

INTELLECT-3 was created by Prime Intellect and released on Nov 27, 2025.

What is the context window of INTELLECT-3?

INTELLECT-3 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of INTELLECT-3?

INTELLECT-3 can generate up to 131K tokens in a single response.

How does INTELLECT-3 perform on benchmarks?

INTELLECT-3 scores 10.6 on the Artificial Analysis Intelligence Index, outperforming 43% of tracked models. On math, it scores 88.0 (outperforms 85% of models).

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

Yes — the INTELLECT-3 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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