Best Local LLMs for 16GB RAM
Ranked open-weight models that run well on a 16GB machine, with estimated speed and the exact ollama command for each.
Try: Qwen3 8B, RTX 4090, MacBook Pro M4, 16GB, iPhone 17 Pro
Best local models for ~16GB
12 picksEstimates assume a representative Apple-Silicon machine with 16GB unified memory. Tok/s are ModelFit estimates, not measured benchmarks; typical error is the median gap to measured runs on hardware the model was not fitted on (how the estimates work). Run the wizard for figures tuned to your exact chip.
- 01
Qwen3.5 9B Instruct
Best for quality, coding, reasoning. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run qwen3.5:9b- Fit
- Runs wellB · 37
- Best for
- Quality, Coding, Reasoning
- Perf
- est. 26 tok/s, typical error 10% · first token ~1.7s
- 02
Mellum2.1 12B-A2.5B Thinking
Best for agentic coding, small machines. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run mellum2.1-12b-q4- Fit
- Runs wellB · 28
- Best for
- Agentic coding, Small machines
- Perf
- est. 51 tok/s, typical error 10% · first token ~0.5s
- 03
NVIDIA Nemotron 3.5 Bolt E4B
Best for voice assistants, tool calling, chat. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run nemotron-3.5-bolt:e4b- Fit
- Runs wellB · 29
- Best for
- Voice assistants, Tool calling, Chat
- Perf
- est. 34 tok/s, typical error 10% · first token ~1.5s
- 04
Gemma 4 12B
Best for chat, coding, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run gemma4:12b- Fit
- Runs wellB · 29
- Best for
- Chat, Coding, Multimodal
- Perf
- est. 17 tok/s, typical error 10% · first token ~2.5s
- 05
MiMo-V2.6-Distill-Qwen-9B
Best for agentic coding, small machines. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run mimo-v2.6-distill-qwen-9b- Fit
- Runs wellB · 48
- Best for
- Agentic coding, Small machines
- Perf
- est. 25 tok/s, typical error 10% · first token ~1.7s
- 06
Ornith 1.0 9B
Best for agentic coding on small machines. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run ornith:9b- Fit
- Runs wellB · 50
- Best for
- Agentic coding on small machines
- Perf
- est. 26 tok/s, typical error 10% · first token ~1.7s
- 07
LFM2.5 8B-A1B
Best for on-device agents, tool calling, multilingual chat. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run lfm2.5:8b-a1b-q4_K_M- Fit
- Runs wellB · 51
- Best for
- On-device agents, tool calling, multilingual chat
- Perf
- est. 75 tok/s, typical error 10% · first token ~0.3s
- 08
Qwen3.5 4B Instruct
Best for coding, agents, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run qwen3.5:4b- Fit
- Lots of roomA · 69
- Best for
- Coding, Agents, Multimodal
- Perf
- est. 46 tok/s, typical error 10% · first token ~0.8s
- 09
Granite Switch 4.1 8B
Best for chat, decisions, safety checks. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run granite-switch-4.1-8b-q4- Fit
- Runs wellB · 43
- Best for
- Chat, Decisions, Safety checks
- Perf
- est. 19 tok/s, typical error 10% · first token ~2.0s
- 10
Gemma 4 E4B (Q8)
Best for on-device, mobile, chat. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run gemma4:e4b-it-q8_0- Fit
- Runs wellB · 33
- Best for
- On-device, Mobile, Chat
- Perf
- est. 26 tok/s, typical error 10% · first token ~1.6s
- 11
Ministral 3 8B
Best for chat, coding, vision. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run ministral-3:8b- Fit
- Runs wellB · 46
- Best for
- Chat, Coding, Vision
- Perf
- est. 21 tok/s, typical error 10% · first token ~1.9s
- 12
Gemma 4 E4B
Best for on-device, mobile, chat. Strong fit for 16 GB RAM with balanced speed and quality.
$ollama run gemma4:e4b- Fit
- Lots of roomA · 64
- Best for
- On-device, Mobile, Chat
- Perf
- est. 37 tok/s, typical error 10% · first token ~1.5s
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