Buying a MacBook for local LLM inference in 2026? This is the decision guide: Air M4 vs Pro M4 (same 24GB unified memory), what each handles, and where the Air falls behind.
If you want the ranked model list for a specific configuration, jump to:
- Best Local LLMs for MacBook Air M4 24GB
- Best Local LLMs for MacBook Pro M4 Pro 24GB
- Best Local LLMs for MacBook Pro M4 Max 36GB
TL;DR
- Short chat sessions under 10 min: Air M4 is fine. Identical tok/s to the Pro M4.
- Coding all day / agentic workflows: Pro M4 wins. Active cooling = no thermal throttling.
- 1M-token Qwen 3.6 workflows: Pro M4 Max 48GB+. Air cannot sustain the memory bandwidth.
- Budget priority: Air M4 24GB is the cheapest Mac that runs Qwen3.5-9B, Gemma 3 9B, and Llama 3.1 8B comfortably.
Hardware spec comparison
| Spec | MacBook Air M4 24GB | MacBook Pro M4 24GB | MacBook Pro M4 Pro 24GB |
|---|---|---|---|
| CPU cores | 10 | 10 | 12 |
| GPU cores | 10 | 10 | 16 |
| Memory bandwidth | 120 GB/s | 120 GB/s | 273 GB/s |
| Unified memory | 24 GB | 24 GB | 24 GB |
| Thermal design | Passive | Active (fan) | Active (fan) |
| Sustained GPU load | ~8-12 min before throttle | Indefinite | Indefinite |
| 2026 price (retail) | $1,699 | $1,999 | $2,399 |
Key insight: At the same 24GB memory, the M4 Pro's 2.3× memory bandwidth translates directly into tok/s. For LLM inference, which is memory-bandwidth-bound, this is the single most important spec.
LLM inference benchmarks (tokens per second, Q4_K_M)
Approximate short-burst tok/s — first 60 seconds before any thermal effects:
| Model | Air M4 24GB | Pro M4 24GB | Pro M4 Pro 24GB |
|---|---|---|---|
| Gemma 3 4B | ~65 | ~65 | ~140 |
| Llama 3.1 8B | ~42 | ~45 | ~95 |
| Qwen 3.5 9B | ~38 | ~40 | ~85 |
| Qwen 3 14B | ~22 | ~22 | ~50 |
| Qwen 3 30B-A3B MoE | ~32 | ~34 | ~72 |
| Qwen 3.5 35B-A3B MoE | ~28 | ~30 | ~65 |
| Qwen3.6-35B-A3B MoE | ~28* | ~30* | ~65* |
Projected for Qwen3.6-35B-A3B at GGUF Q4_K_M. See Qwen3.6-35B-A3B VRAM Requirements for the status of open weights.
Sustained load (10+ minutes continuous inference)
This is where the Air falls behind:
| Model | Air M4 24GB sustained | Pro M4 24GB sustained |
|---|---|---|
| Llama 3.1 8B | ~25-30 tok/s | ~45 tok/s |
| Qwen 3 30B-A3B | ~18-22 tok/s | ~34 tok/s |
| Qwen 3.5 35B-A3B | ~15-20 tok/s | ~30 tok/s |
The Air M4 typically throttles to ~60-70% of peak performance under sustained load. If your workflow is short bursts (chat, occasional Q&A), this barely matters. If you run Cursor, Cody, or a local agent all day, the Pro saves hours over time.
Memory: is 24GB enough in 2026?
Yes, for the current sweet-spot models. At 24GB unified memory you fit:
- Qwen 3.5 9B at Q8_0 comfortably (~10 GB)
- Qwen 3.5 27B at Q4_K_M with moderate context (~16 GB)
- Qwen 3 30B-A3B MoE at Q4_K_M (~17 GB)
- Qwen 3.5 35B-A3B MoE at Q4_K_M tightly (~21 GB) — closes almost all other apps
- Qwen3.6-35B-A3B MoE at Q4_K_M projected ~21 GB
Where 24GB runs out of headroom:
- Q5+ quantization on 35B-A3B models
- Full 1M-context windows for Qwen 3.6 (KV cache adds 20-40 GB at long context)
- Running multiple models or LLM + Stable Diffusion concurrently
For those cases, step up to 32 GB or 48 GB — see the Mac comparison guide.
Decision tree
Choose MacBook Air M4 24GB if:
- Budget is the priority (~$1,700)
- Use is short chat sessions, casual coding, light Q&A
- You do most heavy work on a desktop elsewhere
- You travel and value silent, fanless operation
Choose MacBook Pro M4 24GB if:
- You want identical GPU specs to the Air but with active cooling
- You run long coding sessions or agentic LLM workloads
- Portability + sustained performance both matter
Choose MacBook Pro M4 Pro 24GB if:
- You want the best single-device LLM experience at 24GB unified memory
- 2.3× memory bandwidth justifies the extra ~$400
- You plan to keep the laptop 3+ years and run increasingly demanding models
Choose MacBook Pro M4 Max 36-64GB if:
- You need Q5/Q6 quantization on 35B-A3B-class models
- 1M-context workflows (Qwen 3.6 agentic use)
- Running multiple models concurrently