Best Models for Private RAG

The full DeepSeek-R1, included to anchor the top of the reasoning tier. Only the distilled variants are realistic for single-box local deployment. Figures are placeholders.

Frontier-scale open weights, listed to anchor the high end. Plan for a server cluster or rented cloud GPUs.

A frontier-class open MoE. Memory is bounded by total params; throughput benefits from sparse activation. Figures are placeholders — verify before planning hardware.

A top-tier open model for coding and reasoning; a strong backbone for a private Business Command Center.

The previous-generation flagship; still excellent. Prefer Llama 3.3 70B where available for similar footprint and better instruction following.

A flagship open model with near-frontier quality for many business tasks. Full precision needs multi-GPU/datacenter; 4-bit opens it to high-end workstations.

The largest R1 distill, built on Llama 70B. The strongest locally-runnable reasoning option short of the full MoE; plan for high-end workstation or multi-GPU hardware.

Mixture-of-experts: total params are large but only a subset activate per token, so it serves quickly for its quality tier.