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BEST local LLMs to run in 2026:
High-performance (24+ GB VRAM, preferably with multiple GPUs)
• Kimi K2 - 1T params, 32B active. MoE beast
• GLM-4.7 (Z AI) - 30B-A3B MoE, SWE-bench 73.8%
• DeepSeek V3.2 - 671B / 37B active. Still the open-source king
• Qwen3 235B-A22B - insane quality/cost ratio if you have the iron
Mid-range (16-24 GB VRAM / RAM)
• Qwen3 30B-A3B - punches way above its weight, stable on long context
• Gemma 3 27B - Google's best open release yet
• Nemotron 3 Nano 30B - Math500: 91%. Best-in-class if you need math
Lightweight models (8-16 GB RAM, can run without a dedicated GPU)
• Qwen3 8B / 4B / 1.7B - the best small model family right now
• Gemma 3 4B - surprisingly capable on CPU
• Phi-4 (14B) - Microsoft doing a lot with a little
The local AI stack is genuinely catching up to the cloud