Best Local LLMs in 2026

Meta's efficient MoE model delivers frontier-level performance while being fully open-source. The gold standard for local deployment on capable hardware.

Best for: Users with high-end hardware wanting the best local model

Google's open-source model with multimodal capabilities. Runs on a single 24GB GPU and offers excellent quality for local use.

Best for: Single-GPU local deployment with multimodal needs

Microsoft's 14B model achieves remarkable reasoning performance relative to its size. Quantized versions run on 8GB VRAM GPUs.

Best for: Laptops and consumer PCs with modest GPUs

Compact model with strong multilingual support and function calling. Good balance of capability and hardware requirements.

Best for: Local deployment needing multilingual and function calling

Powerful general-purpose model available in quantized formats that run on dual-GPU setups. Strong across all task categories.

Best for: Home servers and multi-GPU setups wanting broad capability

Open-source reasoning model with distilled versions that run locally. Brings chain-of-thought reasoning to your local machine.

Best for: Local reasoning and math without cloud dependency

The most popular model for local deployment with the largest ecosystem of community fine-tunes and quantizations.

Best for: Beginners getting started with local LLMs