Qwen3.5 4B Instruct
Qwen / 4B / Q4_K_M / ~3.5 GB
Best for: Coding, Agents, Multimodal·Pop: 88/100
Perf: ~121.8 tok/s · first token ~0.5s
Best for coding, agents, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
A MacBook Air M4 with 16GB RAM runs coding models in the 4B-9B class well, with one caveat: no fan. Short completions are instant, but a 20-minute agentic session will warm the chassis and shave off speed.
Qwen / 4B / Q4_K_M / ~3.5 GB
Best for: Coding, Agents, Multimodal·Pop: 88/100
Perf: ~121.8 tok/s · first token ~0.5s
Best for coding, agents, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~58.7 tok/s · first token ~0.6s
Best for quality, coding, reasoning. Strong fit for 16 GB RAM with balanced speed and quality.
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~65.3 tok/s · first token ~0.6s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 78/100
Perf: ~65.3 tok/s · first token ~0.6s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Gemma / 4B / Q4_K_M / ~3.5 GB
Best for: Chat, Coding·Pop: 81/100
Perf: ~121.8 tok/s · first token ~0.5s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 72/100
Perf: ~73.6 tok/s · first token ~0.6s
Best for coding. Strong fit for 16 GB RAM with balanced speed and quality.
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 68/100
Perf: ~73.6 tok/s · first token ~0.6s
Best for reasoning, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~73.6 tok/s · first token ~0.6s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
The Air throttles under sustained load, and coding assistants are exactly that: an agent loop or a long refactor keeps the GPU busy for minutes at a stretch. Favor a 4B coder for autocomplete and quick edits, and reserve the 9B class for code review sessions where you can tolerate the slowdown after the first few minutes.
Pair the model with an editor extension like Continue.dev or Cline pointed at Ollama. Keep context windows modest (8K-16K) on 16GB: every open file you stuff into the prompt costs RAM that competes with the model weights.
Use the ModelFit wizard to test different RAM and chip configurations for your exact MacBook Air setup.
Open ModelFit Wizard