Qwen3.5 9B Instruct
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~19 tok/s · first token ~1.0s
Best for quality, coding, reasoning. Strong fit for 16 GB RAM with balanced speed and quality.
The Mac Mini M4 at 16GB is the cheapest always-on coding box. Same AI budget as the Air, but desktop cooling means a 9B coder holds full speed through hour-long agent runs, and it can serve your whole desk over the network.
The Mac Mini is the cheapest always-on coding machine. Desktop cooling means a 9B coder holds full speed through hour-long agent runs. The M4 moves data at 120 GB/s. That is enough for responsive completions but slower than the Pro and Studio tiers. The 16GB default leaves an 11GB AI budget; configs span 8GB to 48GB. Point a laptop at it over the LAN and the Mini carries the load silently.
One $599 box can back several developers for autocomplete-class work. Set OLLAMA_HOST to 0.0.0.0, and any editor plugin on the network uses the Mini as its backend. The 16GB config runs a 9B coder as the daily driver and a 4B for latency-sensitive completion. When speccing new hardware, the M4 Pro with 32GB+ reaches 14B territory for less than any laptop.
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~19 tok/s · first token ~1.0s
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: ~21 tok/s · first token ~0.9s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Gemma / 12B / Q4_K_M / ~8 GB
Best for: Chat, Coding, Multimodal·Pop: 80/100
Perf: ~14 tok/s · first token ~1.2s
Best for chat, coding, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
Ornith / 9B / Q4_K_M / ~5.6 GB
Best for: Agentic coding on small machines·Pop: 76/100
Perf: ~19 tok/s · first token ~1.0s
Best for agentic coding on small machines. 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: ~21 tok/s · first token ~0.9s
Best for chat, coding. Strong fit for 16 GB RAM with balanced speed and quality.
Gemma / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Quality·Pop: 76/100
Perf: ~14 tok/s · first token ~1.2s
This model may feel memory-heavy on 16 GB RAM, but it is still listed for balanced speed and quality.
Mistral / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Translation·Pop: 78/100
Perf: ~14 tok/s · first token ~1.2s
This model may feel memory-heavy on 16 GB RAM, but it is still listed for balanced speed and quality.
Qwen / 4B / Q4_K_M / ~3.5 GB
Best for: Coding, Agents, Multimodal·Pop: 88/100
Perf: ~42 tok/s · first token ~0.7s
Best for coding, agents, multimodal. Strong fit for 16 GB RAM with balanced speed and quality.
Run Ollama on the Mini and point laptops at it over the LAN (set OLLAMA_HOST to 0.0.0.0). Your MacBook stays cool and silent while the Mini does the inference; editor plugins only need the server URL. One $599 box can back several developers for autocomplete-class work.
On the 16GB config, a 9B coding model is the daily driver and a 4B handles latency-sensitive completion. If you are speccing a new Mini for coding, the M4 Pro with 32GB+ moves you into 14B territory for less than any MacBook Pro.
Run the ModelFit wizard with your exact Mac Mini to see which coding models fit your RAM and chip.
Open ModelFit Wizard