INTELLECT-3

INTELLECT-3: A 100B+ MoE trained with large-scale RL

Trained with prime-rl and verifiers
Environments released on Environments Hub
Read the Blog & Technical Report
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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:

Model Variants

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}
}