Which is better for local LLMs — MacBook Air M4 or MacBook Pro M4?

MacBook Pro M4 wins for sustained inference. The Air M4 throttles after ~8-10 minutes of 100% GPU load because it lacks active cooling. For short chat sessions both perform identically at up to 24GB unified memory. For long agentic runs, coding sessions, or 1M-context Qwen 3.6 workloads, choose the Pro.

Can MacBook Air M4 24GB run Qwen3.6-35B-A3B?

Yes at Q4_K_M (~21 GB) — tightly. You will need to close other applications and keep context moderate. Expect ~30-35 tok/s initially, dropping to ~15-20 tok/s once thermal throttling kicks in (roughly 8-12 minutes of sustained load).

Is MacBook Pro M4 24GB better than MacBook Pro M4 Pro 24GB?

The M4 Pro chip has higher memory bandwidth (273 GB/s vs 120 GB/s on M4) and more GPU cores. At the same 24GB unified memory, M4 Pro is noticeably faster for LLM inference. If you care about tok/s, the M4 Pro is worth the premium.

Should I get 24GB, 32GB, or 48GB unified memory?

For local LLMs in 2026: 24GB runs 30B-A3B MoE at Q4 (sweet spot). 32GB gains room for Q5 quantization or longer context. 48GB+ is needed for 35B-A3B at Q6+, or for running LLMs alongside heavy creative apps. If you are unsure, 32GB is the safest bet.

How fast is MacBook Air M4 for Llama 3.1 8B?

MacBook Air M4 runs Llama 3.1 8B at Q4_K_M at ~40-45 tok/s in short bursts, dropping to ~25-30 tok/s after sustained load. The Pro M4 sustains ~45-50 tok/s indefinitely due to active cooling.

April 22, 2026macbook, apple-silicon, m4, local-llm, buyer-guide

MacBook Air M4 vs MacBook Pro M4 for Local LLMs — Which to Buy (April 2026)

MacBook Air M4 vs Pro M4 for local LLMs: 24GB unified memory, tok/s benchmarks, thermal limits, and which one fits Qwen3.6-35B-A3B. Decision guide with exact specs.

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:

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