Best Local LLMs for 48GB RAM
Ranked open-weight models that run well on a 48GB machine, with estimated speed and the run command for each.
Try: Qwen3 8B, RTX 4090, MacBook Pro M4, 16GB, iPhone 17 Pro
Best local models for ~48GB
12 picksEstimates assume a representative Apple-Silicon machine with 48GB 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
Qwen3.6 35B-A3B
Best for reasoning, coding, agents. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run qwen3.6:35b-a3b- Fit
- Runs wellB · 37
- Best for
- Reasoning, Coding, Agents
- Perf
- est. 163 tok/s, typical error 10% · first token ~0.2s
- 02
Nemotron 3.5 Lightning 30B-A3B
Best for agentic, coding, long context. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run nemotron-3.5-lightning:30b- Fit
- Runs wellB · 27
- Best for
- Agentic, Coding, Long context
- Perf
- est. 103 tok/s, typical error 10% · first token ~0.2s
- 03
Sage-A1.5
Best for scientific research agents, long-horizon tasks. Strong fit for 48 GB RAM with balanced speed and quality.
$llama-server -hf InternScience/Sage-A1.5-Q4_K_M-GGUF:Q4_K_M- Fit
- Runs wellB · 38
- Best for
- Scientific research agents, Long-horizon tasks
- Perf
- est. 163 tok/s, typical error 10% · first token ~0.2s
- 04
Nemotron 3.5 Lightning 30B-A3B (IQ4_XS)
Best for agentic, coding, long context. Strong fit for 48 GB RAM with balanced speed and quality.
$llama-server -hf bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:IQ4_XS- Fit
- Runs wellB · 46
- Best for
- Agentic, Coding, Long context
- Perf
- est. 132 tok/s, typical error 10% · first token ~0.2s
- 05
GLM-4.7-Flash 30B-A3B
Best for coding, agentic tasks, reasoning. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run glm-4.7-flash- Fit
- Runs wellB · 45
- Best for
- Coding, Agentic tasks, Reasoning
- Perf
- est. 116 tok/s, typical error 10% · first token ~0.2s
- 06
Gemma 4 26B-A4B (Q8)
This model may feel memory-heavy on 48 GB RAM, but it is still listed for balanced speed and quality.
$ollama run gemma4:26b-a4b-it-q8_0- Fit
- Runs wellC · 19
- Best for
- Chat, Coding, Multimodal
- Perf
- est. 75 tok/s, typical error 10% · first token ~0.2s
- 07
Ornith 1.0 35B
Best for agentic coding. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run ornith:35b- Fit
- Runs wellB · 39
- Best for
- Agentic coding
- Perf
- est. 166 tok/s, typical error 10% · first token ~0.2s
- 08
Flint 40B-A2.5B
Best for agentic coding, long context. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run flint:40b- Fit
- Runs wellB · 34
- Best for
- Agentic coding, Long context
- Perf
- est. 175 tok/s, typical error 10% · first token ~0.2s
- 09
Gemma 4 31B
Best for quality, coding, multimodal. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run gemma4:31b- Fit
- Runs wellB · 43
- Best for
- Quality, Coding, Multimodal
- Perf
- est. 24 tok/s, typical error 10% · first token ~1.6s
- 10
Laguna XS 2.1
Best for agentic coding, long-horizon tasks. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run laguna-xs-2.1:q4_K_M- Fit
- Runs wellB · 42
- Best for
- Agentic coding, Long-horizon tasks
- Perf
- est. 153 tok/s, typical error 10% · first token ~0.2s
- 11
Qwen3.8 27B (Q8)
This model may feel memory-heavy on 48 GB RAM, but it is still listed for balanced speed and quality.
$ollama run qwen3.8:27b-q8_0- Fit
- Runs wellC · 22
- Best for
- Coding, Agent, Vision, Long context
- Perf
- est. 18 tok/s, typical error 10% · first token ~1.4s
- 12
Gemma 4 26B-A4B
Best for chat, coding, multimodal. Strong fit for 48 GB RAM with balanced speed and quality.
$ollama run gemma4:26b- Fit
- Runs wellB · 54
- Best for
- Chat, Coding, Multimodal
- Perf
- est. 108 tok/s, typical error 10% · first token ~0.2s
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