By memory size

Local LLMs for a Mac
with 16GB of memory

On a Mac with 16GB of memory, models up to 8GB run comfortably alongside other apps: 12 of the 30 models measured here. The smartest is Ornith-1.0-9B (83% on knowledge, 88% on math, 6.2GB).

Other sizes: 8GB · 16GB · 24GB · 32GB · 36GB · 48GB or more

Picks by use

UseModelRule
If unsure, start hereOrnith-1.0-9BThe smartest that replies within 5 seconds
Smartest (if you can wait)Ornith-1.0-9BThe highest share of right answers
Replies right awayGLM-4-9B-0414The smartest that replies within 1 second
English → Japanese translationgemma-4-E4B-itThe highest translation score (3 more within the margin)

Runs comfortably (up to 8GB)

ModelMemoryReply timeKnowledgeMathEN→JA
Ornith-1.0-9Bornith-ai6.2GBabout 3.6 s83%88%—
gemma-4-E4B-itGoogle5.4GBabout 4 s82%79%34 pts
Ornith-1.5-9Bornith-ai6.4GBabout 2.5 s78%82%33 pts
DeepSeek-R1-0528-Qwen3-8BDeepSeek6.4GBabout 9.8 s73%78%25 pts
MiniCPM5-2BOpenBMB2GBabout 1.5 s70%80%23 pts
LFM2.5-2.6BLiquid AI2GBabout 2.2 s73%68%30 pts
LFM2.5-8B-A1BLiquid AI5.4GBabout 1.5 s67%71%28 pts
NVIDIA-Nemotron-3-Nano-4B-BF16NVIDIA3.3GBabout 2.4 s63%75%28 pts
GLM-4-9B-0414Z.ai6.7GBabout 0.1 s66%64%32 pts
Qwen3.5-4BAlibaba3.5GBabout 40 s56%66%—
LFM2.5-1.2B-JP-202606Liquid AI1GBabout 0.2 s57%54%33 pts
Ministral-3-3B-Instruct-2512Mistral3.2GBabout 0.1 s48%42%18 pts

Runs with heavy apps closed

More than half the memory, but up to 10.4GB should run. Close heavy apps other than a browser first.

ModelMemoryReply timeKnowledgeMathEN→JA
NVIDIA-Nemotron-Nano-12B-v2NVIDIA8.1GBabout 7.1 s79%85%31 pts
Ministral-3-14B-Instruct-2512Mistral9.9GBabout 0.1 s72%83%31 pts

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