Prime Intellect: INTELLECT-3
Reason Deeper. Scale Smarter
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.
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Prime Intellect: INTELLECT-3 on ModelsLab.