INTELLECT-3

A 106B-parameter mixture-of-experts model from Prime Intellect with 12B active parameters, post-trained with supervised fine-tuning and reinforcement learning on a 131k-token context window.

Strengths

Efficient parameter activation through mixture-of-experts design allows competitive performance with lower inference compute than dense models of similar capability, particularly for mathematical and analytical tasks.

Best for

Workloads requiring strong mathematical reasoning, long-context processing, and cost-efficient inference where selective parameter activation provides value over dense architectures.

Limitations

Mixture-of-experts routing can introduce latency variance and routing artifacts; performance gains depend on workload characteristics and hardware support for sparse computation.