Best Local LLMs for 128GB RAM

Ranked open-weight models that run well on a 128GB machine — with estimated speed and the exact ollama command for each.

Try: RTX 4090, MacBook Pro M4, 16GB, iPhone 17 Pro

Best local models for ~128GB

12 picks

Estimates assume a representative Apple-Silicon machine with 128GB unified memory. Tok/s are ModelFit estimates, not measured benchmarks. Run the wizard for figures tuned to your exact chip.

Llama 3.3 70B Instruct

Llama / 70B / Q4_K_M / ~42 GB

Best for: Quality, Coding·Perf: ~33.9 tok/s (est.) · first token ~1.5s

Runs well

Best for quality, coding. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run llama3.3:70b-instruct-q4_K_M

Mixtral 8x7B Instruct

Mistral / 46.7B / Q4_K_M / ~30 GB

Best for: Coding, Quality·Perf: ~48.8 tok/s (est.) · first token ~1.5s

Perfect fit

Best for coding, quality. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run mixtral:8x7b

Llama 3.1 70B Instruct

Llama / 70B / Q4_K_M / ~42 GB

Best for: Quality, Coding·Perf: ~33.9 tok/s (est.) · first token ~1.5s

Runs well

Best for quality, coding. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run llama3.1:70b-instruct-q4_K_M

DeepSeek-R1 Distill Llama 70B

DeepSeek / 70B / Q4_K_M / ~42 GB

Best for: Reasoning, Quality·Perf: ~33.9 tok/s (est.) · first token ~1.5s

Runs well

Best for reasoning, quality. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run deepseek-r1:70b

Qwen3.6 35B-A3B

Qwen / 35B / Q4_K_M / ~22 GB

Best for: Reasoning, Coding, Agents·Perf: ~63.2 tok/s (est.) · first token ~1.4s

Perfect fit

Best for reasoning, coding, agents. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run qwen3.6:35b-a3b

Qwen3.5 35B-A3B Instruct

Qwen / 35B / Q4_K_M / ~20 GB

Best for: Reasoning, Coding, Agent scenarios·Perf: ~63.2 tok/s (est.) · first token ~1.4s

Perfect fit

Best for reasoning, coding, agent scenarios. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run qwen3.5:35b-a3b

Qwen3.5 27B Instruct

Qwen / 27B / Q4_K_M / ~16 GB

Best for: Chat, Coding, Complex reasoning·Perf: ~79.8 tok/s (est.) · first token ~0.6s

Perfect fit

Best for chat, coding, complex reasoning. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run qwen3.5:27b

Qwen3.6 27B

Qwen / 27B / Q4_K_M / ~18 GB

Best for: Coding, Quality, Long context·Perf: ~79.8 tok/s (est.) · first token ~0.6s

Perfect fit

Best for coding, quality, long context. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run qwen3.6:27b

Llama 4 Scout

Llama / 109B / Q4_K_M / ~67 GB

Best for: Long context, Quality, Multimodal·Perf: ~22.7 tok/s (est.) · first token ~1.7s

Runs well

Best for long context, quality, multimodal. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run llama4:scout

Gemma 4 26B-A4B

Gemma / 26B / Q4_K_M / ~16 GB

Best for: Chat, Coding, Multimodal·Perf: ~82.6 tok/s (est.) · first token ~0.6s

Perfect fit

Best for chat, coding, multimodal. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run gemma4:26b

Qwen3.5 122B-A10B Instruct

Qwen / 122B / Q4_K_M / ~72 GB

Best for: Frontier-level reasoning, Complex tasks·Perf: ~20 tok/s (est.) · first token ~1.7s

Runs well

This model may feel memory-heavy on 128 GB RAM, but it is still listed for balanced speed and quality.

ollama

$ollama run qwen3.5:122b-a10b

LFM2 24B-A2B Instruct

LFM2 / 24B / Q4_K_M / ~14 GB

Best for: Local AI agents, privacy-first tool calling, MCP workflows·Perf: ~88.8 tok/s (est.) · first token ~0.6s

Perfect fit

Best for local ai agents, privacy-first tool calling, mcp workflows. Strong fit for 128 GB RAM with balanced speed and quality.

ollama

$ollama run lfm2:24b-a2b

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