---
title: INTELLECT-3 — Reasoning LLM | ModelsLab
description: Access Prime Intellect: INTELLECT-3, 106B MoE model excelling in math, code, and reasoning. Generate precise agentic outputs via API now.
url: https://modelslab.com/prime-intellect-intellect-3
canonical: https://modelslab.com/prime-intellect-intellect-3
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T03:51:44.871852Z
---

Available now on ModelsLab · Language Model

Prime Intellect: INTELLECT-3
Reason Deeper. Scale Smarter
---

[Try Prime Intellect: INTELLECT-3](/models/open_router/prime-intellect-intellect-3) [API Documentation](https://docs.modelslab.com)

Master Math. Code. Agents
---

106B MoE

### Efficient Active Params

12B active parameters deliver math and reasoning at low inference cost.

RL Post-Training

### End-to-End Reinforcement

Trained with prime-rl on SFT and RL from GLM-4.5-Air for superior agentic performance.

Benchmark Dominance

### Outperforms Larger Models

Hits 90.8% AIME 2024, beats 6x bigger models on reasoning and code tasks.

Examples

See what Prime Intellect: INTELLECT-3 can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/prime-intellect-intellect-3).

Math Proof

“Prove the fundamental theorem of calculus step-by-step, including all intermediate derivations and edge cases for rigorous validation.”

Code Optimizer

“Write efficient Python code to solve the traveling salesman problem using dynamic programming with memoization, include time complexity analysis.”

Science Hypothesis

“Formulate a testable hypothesis for quantum entanglement effects in macroscopic systems, design experiment with controls and measurements.”

Agent Workflow

“Design multi-step agent plan to analyze market data, fetch real-time stocks via API, compute trends, and generate trading signals with risk assessment.”

For Developers

A few lines of code.
RL Agents. One Call
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Prime Intellect: INTELLECT-3
---

[Read the docs ](https://docs.modelslab.com)

### What is Prime Intellect: INTELLECT-3?

### How does prime intellect intellect 3 API work?

### What are Prime Intellect: INTELLECT-3 benchmarks?

### Is Prime Intellect: INTELLECT-3 model open-source?

### Prime Intellect: INTELLECT-3 alternative to what?

### Prime Intellect: INTELLECT-3 LLM context length?

Ready to create?
---

Start generating with Prime Intellect: INTELLECT-3 on ModelsLab.

[Try Prime Intellect: INTELLECT-3](/models/open_router/prime-intellect-intellect-3) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-04-15*