INTELLECT-3
Introduction
INTELLECT-3 is a 106B (A12B) parameter Mixture-of-Experts reasoning model post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL).
Training was performed with prime-rl using environments built with the verifiers library. All training and evaluation environments are available on the Environments Hub.
The model, training frameworks, and environments are open-sourced under fully-permissive licenses (MIT and Apache 2.0).
For more details, see the technical report.
Evaluation
INTELLECT-3 achieves best-in-class performance on math, coding, and reasoning benchmarks:
| Benchmark | MATH-500 | AIME24 | AIME25 | LCB | GPQA | HLE | MMLU-Pro |
|---|---|---|---|---|---|---|---|
| INTELLECT-3 | 98.1 | 90.8 | 88.0 | 69.3 | 74.4 | 14.6 | 81.9 |
| GLM-4.5-Air | 97.8 | 84.6 | 82.0 | 61.5 | 73.3 | 13.3 | 73.9 |
| GLM-4.5 | 97.0 | 85.8 | 83.3 | 64.5 | 77.0 | 14.8 | 83.5 |
| DeepSeek R1 0528 | 87.3 | 83.2 | 73.4 | 62.5 | 77.5 | 15.9 | 75.3 |
| DeepSeek v3.2 | 96.8 | 88.1 | 84.7 | 71.6 | 81.4 | 17.9 | 84.6 |
| GPT-O5S 120B | 96.0 | 75.8 | 77.7 | 69.9 | 70.0 | 10.6 | 67.1 |
Model Variants
| Model | HuggingFace |
|---|---|
| INTELLECT-3 | PrimeIntellect/INTELLECT-3 |
| INTELLECT-3-FP8 | PrimeIntellect/INTELLECT-3-FP8 |
Serving with vLLM
The BF16 version can be served on 2x H200s:
vllm serve PrimeIntellect/INTELLECT-3 \
--tensor-parallel-size 2 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder \
--reasoning-parser deepseek_r1
The FP8 version can be served on a single H200:
vllm serve PrimeIntellect/INTELLECT-3-FP8 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder \
--reasoning-parser deepseek_r1
Citation
@misc{intellect3,
title={INTELLECT-3: Technical Report},
author={Prime Intellect Team},
year={2025},
url={https://huggingface.co/PrimeIntellect/INTELLECT-3}
}