Best Local LLMs to Run Privately
The strongest open models you can realistically self-host, ranked by a transparent blend of capability and how easily they run on hardware you can own. Each lists the minimum self-hostable device and a comfortable recommended build. Datacenter-only giants are ranked down here on purpose — this list favours what you can actually run.
- 1Qwen2.5 72BQwen · ~72B · 128K ctx · Qwen License
A top-tier open model for coding and reasoning; a strong backbone for a private Business Command Center.
Minimum: Apple Mac mini (M4 Pro)Recommended: NVIDIA B200 (placeholder) - 2Llama 3.1 70BLlama · ~70B · 128K ctx · Llama Community License
The previous-generation flagship; still excellent. Prefer Llama 3.3 70B where available for similar footprint and better instruction following.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 3Llama 3.3 70BLlama · ~70B · 128K ctx · Llama Community License
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.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 4DeepSeek-R1 Distill Llama 70BDeepSeek · ~70B · 128K ctx · MIT
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.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 5Mixtral 8x7B (MoE)Mistral · ~47B · 32K ctx · Apache-2.0
Mixture-of-experts: total params are large but only a subset activate per token, so it serves quickly for its quality tier.
Recommended: NVIDIA B200 (placeholder) - 6Qwen2.5 32BQwen · ~32B · 128K ctx · Apache-2.0
A workhorse for serious private agents with an Apache-2.0 license — strong value for coding and reasoning at a single-GPU footprint.
Minimum: NVIDIA GeForce RTX 3090Recommended: NVIDIA B200 (placeholder) - 7Qwen3 32BQwen · ~32B · 128K ctx · Apache-2.0
Newer-generation 32B. A strong modern alternative to Qwen2.5 32B for reasoning and coding; verify the exact variant.
Minimum: NVIDIA GeForce RTX 3090Recommended: NVIDIA B200 (placeholder) - 8DeepSeek-R1 Distill 32BDeepSeek · ~32B · 128K ctx · MIT
The largest R1 distill that fits a single high-end consumer card. A strong choice when reasoning quality matters and you want it on-prem.
Minimum: NVIDIA GeForce RTX 3090Recommended: NVIDIA B200 (placeholder)
Run the best local LLM as a private AI Business OS
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.
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