Qwen3.6 35B-A3B
Qwen / 35B / Q4_K_M / ~22 GB
Best for: Reasoning, Coding, Agents·Pop: 88/100
Perf: ~30.3 tok/s · first token ~1.6s
Best for reasoning, coding, agents. Strong fit for 48 GB RAM with balanced speed and quality.
A 32GB MacBook Pro turns local chat into a daily-driver assistant. The 9B-14B class answers fast and writes well, and there is room for long conversations without trimming history every few turns.
Qwen / 35B / Q4_K_M / ~22 GB
Best for: Reasoning, Coding, Agents·Pop: 88/100
Perf: ~30.3 tok/s · first token ~1.6s
Best for reasoning, coding, agents. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 35B / Q4_K_M / ~20 GB
Best for: Reasoning, Coding, Agent scenarios·Pop: 90/100
Perf: ~30.3 tok/s · first token ~1.6s
Best for reasoning, coding, agent scenarios. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 27B / Q4_K_M / ~16 GB
Best for: Chat, Coding, Complex reasoning·Pop: 82/100
Perf: ~38.2 tok/s · first token ~0.7s
Best for chat, coding, complex reasoning. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 27B / Q4_K_M / ~18 GB
Best for: Coding, Quality, Long context·Pop: 92/100
Perf: ~38.2 tok/s · first token ~0.7s
Best for coding, quality, long context. Strong fit for 48 GB RAM with balanced speed and quality.
Gemma / 26B / Q4_K_M / ~16 GB
Best for: Chat, Coding, Multimodal·Pop: 86/100
Perf: ~39.5 tok/s · first token ~0.7s
Best for chat, coding, multimodal. Strong fit for 48 GB RAM with balanced speed and quality.
LFM2 / 24B / Q4_K_M / ~14 GB
Best for: Local AI agents, privacy-first tool calling, MCP workflows·Pop: 80/100
Perf: ~42.5 tok/s · first token ~0.7s
Best for local ai agents, privacy-first tool calling, mcp workflows. Strong fit for 48 GB RAM with balanced speed and quality.
Gemma / 31B / Q4_K_M / ~20 GB
Best for: Quality, Coding, Multimodal·Pop: 84/100
Perf: ~33.8 tok/s · first token ~1.5s
Best for quality, coding, multimodal. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 14B / Q4_K_M / ~11 GB
Best for: Coding, Chat·Pop: 68/100
Perf: ~69.0 tok/s · first token ~0.6s
Best for coding, chat. Strong fit for 48 GB RAM with balanced speed and quality.
The jump from 16GB is conversational depth. With ~22GB of budget you can run a 14B model with 16K-32K of context, which means the assistant remembers the whole working session: the document you pasted an hour ago, the decisions made twenty turns back.
A 14B chat model handles drafting, summarizing, and explaining at a level most people stop comparing to cloud output for everyday use. Keep a 4B around for instant lookups; switch up only when the answer quality matters.
Use the ModelFit wizard to test different RAM and chip configurations for your exact MacBook Pro setup.
Open ModelFit Wizard