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 MacBook Pro with 32GB RAM is the sweet spot for local coding assistants. The ~22GB AI budget fits 14B-24B class models, enough quality for real code review, and active cooling holds full speed through long agent sessions.
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.
Qwen / 14B / Q4_K_M / ~11 GB
Best for: Coding, Quality·Pop: 84/100
Perf: ~69.0 tok/s · first token ~0.6s
Best for coding, quality. 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·Pop: 68/100
Perf: ~69.0 tok/s · first token ~0.6s
Best for coding. Strong fit for 48 GB RAM with balanced speed and quality.
Fan-assisted cooling is the quiet advantage here. Agentic tools like aider and Cline fire dozens of sequential requests, and the Pro sustains its token rate where a fanless machine sags. With 32GB you can keep a mid-size coder model loaded all day next to your IDE, browser, and containers.
Spend the extra memory on context, not just parameters: a 14B model with a 32K window often beats a 24B model squeezed to 8K for multi-file work. MoE releases in the 24B class give near-14B speed with stronger output when you want both.
Use the ModelFit wizard to test different RAM and chip configurations for your exact MacBook Pro setup.
Open ModelFit Wizard