What is the best local LLM for MacBook Pro M4 Pro 24GB 16-inch?

Qwen3.6-27B is the current coding-biased local LLM answer for MacBook Pro M4 Pro 24GB 16-inch. The ranking is machine-specific, so use Fit and Bench before treating the same answer as valid for a different Mac or workload.

How many MacBook Pro M4 Pro 24GB 16-inch local LLM benchmarks are published?

MacBook Pro M4 Pro 24GB 16-inch currently has 19 direct benchmark rows across 17 tracked models, with the latest source dated April 17, 2026.

Is MacBook Pro M4 Pro 24GB 16-inch enough for local LLMs?

MacBook Pro M4 Pro 24GB 16-inch sits between compact and high-headroom Apple Silicon tiers. It can be useful for local LLMs, but the safe answer depends on exact model fit, quantization, and context size.

Machine answer

Best local LLMs for MacBook Pro M4 Pro 24GB 16-inch

Use this page when your real question is an exact Mac, not a generic best-Mac list. The ranking below is machine-specific, with benchmark-backed, sparse, and fit-limited evidence kept separate.

Current coding-biased answer for MacBook Pro M4 Pro 24GB 16-inch: Qwen3.6-27B. Use Fit and Bench to verify how much headroom remains once you move past the default answer.

19 benchmarks on this exact machine across 17 models. Last benchmark: April 17, 2026. Catalog current through April 22, 2026.

Audit fit Audit evidence Check local vs API cost Compare rented GPUs

Exact Mac answers

What is the best local LLM for MacBook Pro M4 Pro 24GB 16-inch?: Qwen3.6-27B is the current coding-biased local LLM answer for MacBook Pro M4 Pro 24GB 16-inch. The ranking is machine-specific, so use Fit and Bench before treating the same answer as valid for a different Mac or workload.
How many MacBook Pro M4 Pro 24GB 16-inch local LLM benchmarks are published?: MacBook Pro M4 Pro 24GB 16-inch currently has 19 direct benchmark rows across 17 tracked models, with the latest source dated April 17, 2026.
Is MacBook Pro M4 Pro 24GB 16-inch enough for local LLMs?: MacBook Pro M4 Pro 24GB 16-inch sits between compact and high-headroom Apple Silicon tiers. It can be useful for local LLMs, but the safe answer depends on exact model fit, quantization, and context size.

Best local LLMs for this Mac

16 current modelsCatalog current through April 22, 2026Benchmark evidence needs refresh after April 27, 2026

MacBook Pro M4 Pro 24GB 16-inch ranked for coding with a most capable bias, using the best available runtime evidence. focused on the current market set.

Mac

Capability

Bias

Runtime

Use the strongest current runtime evidence for each row.Largest fit: Qwen3.6-35B-A3B at Q4_K_M (3B active / 35B total)Fastest read: Qwen3.5-4B at 148.0 tok/s on MLXRanking evidence: Qwen3.6-27B, Qwen3.6-35B-A3B, Gemma 4 26B-A4B +1 are current candidates; sparse rows stay labeled until first-party evidence lands.Next featured Mac: Mac Studio M4 Ultra 256GB planned for June 2026; current default changes after arrival validation and clean first-party evidence.22 historical baseline rows hiddenBaselines

Current ranking evidence

Fresh releases stay visible, but sparse evidence remains explicit.

Qwen3.6-27B

released 2026-04-22 · 5 official specs captured · 1 benchmark row · 9 Apple Silicon field sources · first-party measurement queued · Mac Studio M4 Ultra 256GB batch planned

Best field report is 85.5 tok/s; keep ranking movement provisional until Bench evidence hardens.

Bench: Mac Studio M4 Ultra 256GB batch planned

Qwen3.6-35B-A3B

released 2026-04-15 · 5 official specs captured · 4 benchmark rows · 15 Apple Silicon field sources · first-party measurement queued · Mac Studio M4 Ultra 256GB batch planned

Best field report is 203.1 tok/s; keep ranking movement provisional until Bench evidence hardens.

Bench: Mac Studio M4 Ultra 256GB batch planned

Gemma 4 26B-A4B

released 2026-04-02 · 6 official specs captured · 4 benchmark rows · 6 Apple Silicon field sources · first-party measurement queued · Mac Studio M4 Ultra 256GB batch planned

Best field report is 75.1 tok/s; keep ranking movement provisional until Bench evidence hardens.

Bench: Mac Studio M4 Ultra 256GB batch planned

Gemma 4 E4B

released 2026-04-02 · 5 official specs captured · 5 benchmark rows · 5 Apple Silicon field sources · first-party measurement queued · Mac Studio M4 Ultra 256GB batch planned

Best field report is 76.8 tok/s; keep ranking movement provisional until Bench evidence hardens.

Bench: Mac Studio M4 Ultra 256GB batch planned

Rank	Model	Score	Quant	Tok/s	Runtime	Evidence	Headroom	Context	Why it ranks here
1	Qwen3.6-27B27B parameters	254	Q5_K_M	16.6 tok/s Fastest evidence path: Q5_K_M · 16.6 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	3.6 GB	8k	Recent frontier candidate in the current catalog. Q5_K_M is the highest practical quality here. 16.6 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 3.6 GB headroom is tight.
2	Qwen3.5-27B27B parameters	250	Q5_K_M	16.1 tok/s Fastest evidence path: Q5_K_M · 16.1 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	3.6 GB	8k	Recent frontier candidate in the current catalog. Q5_K_M is the highest practical quality here. 16.1 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 3.6 GB headroom is tight.
3	Devstral Small 2 24B24B parameters	248	Q6_K	23.4 tok/s Fastest evidence path: Q6_K · 23.4 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	3.9 GB	10k	Recent frontier candidate in the current catalog. Q6_K is the highest practical quality here. 23.4 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 3.9 GB headroom is tight.
4	Qwen3.6-35B-A3B3B active / 35B total	220	Q4_K_M	32.0 tok/s Fastest evidence path: Q4_K_M · 32.0 tok/s · Ollama · Trusted reference	Ollama	Trusted referenceFirst-party M5 batch queued	4.2 GB	16k	Recent frontier candidate in the current catalog. Q4_K_M is the highest practical quality here. 32.0 tok/s benchmark-backed on Ollama wrapper on llama.cpp. 4.2 GB headroom leaves workable context margin.
5	Gemma 4 26B-A4B3.8B active / 25.2B total	226	6bit	28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	4.0 GB	10k	Recent model release in the current catalog. 6bit is the highest practical quality here. 28.0 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 4.0 GB headroom leaves workable context margin.
6	Gemma 4 E4B8B parameters	221	8bit	78.0 tok/s Fastest evidence path: 8bit · 78.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	15.4 GB	131k	Recent model release in the current catalog. 8bit is the highest practical quality here. 78.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 15.4 GB headroom leaves workable context margin.
7	Nemotron Cascade 2 30B-A3B3B active / 30B total	220	5bit	22.0 tok/s Fastest evidence path: 5bit · 22.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	5.6 GB	49k	Recent model release in the current catalog. 5bit is the highest practical quality here. 22.0 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 5.6 GB headroom leaves workable context margin.
8	Qwen3.5-9B9B parameters	220	8bit	92.0 tok/s Fastest evidence path: 8bit · 92.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	14.1 GB	94k	Recent model release in the current catalog. 8bit is the highest practical quality here. 92.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 14.1 GB headroom leaves workable context margin.
9	Qwen3.5-35B-A3B3B active / 35B total	217	Q4_K_M	52.0 tok/s Fastest evidence path: Q4_K_M · 52.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	4.2 GB	16k	Recent model release in the current catalog. Q4_K_M is the highest practical quality here. 52.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 4.2 GB headroom leaves workable context margin.
10	Ministral 3 14B14B parameters	217	8bit	40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	9.2 GB	45k	Recent model release in the current catalog. 8bit is the highest practical quality here. 40.0 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 9.2 GB headroom leaves workable context margin.
11	Magistral Small24B parameters	216	Q6_K	Measure it	Best available	Fit-firstFirst-party M5 batch queued	3.9 GB	10k	Q6_K is the highest practical quality here. Speed still needs direct speed coverage. 3.9 GB headroom is tight.
12	Nemotron-3-Nano-30B-A3B3.5B active / 30B total	216	5bit	43.7 tok/s Fastest evidence path: 5bit · 43.7 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	5.6 GB	49k	Recent model release in the current catalog. 5bit is the highest practical quality here. 43.7 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 5.6 GB headroom leaves workable context margin.
13	Ministral 3 8B8B parameters	214	8bit	72.0 tok/s Fastest evidence path: 8bit · 72.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	15.0 GB	96k	Recent model release in the current catalog. 8bit is the highest practical quality here. 72.0 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 15.0 GB headroom leaves workable context margin.
14	gpt-oss 20B3.6B active / 21B total	194	Q6_K	Measure it	MLX	Fit-firstFirst-party M5 batch queued	7.1 GB	84k	Q6_K is the highest practical quality here. Speed still needs direct speed coverage. 7.1 GB headroom leaves workable context margin.
15	Gemma 4 E2B5.1B parameters	165	8bit	95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	18.5 GB	131k	Recent model release in the current catalog. 8bit is the highest practical quality here. 95.0 tok/s estimated from nearby benchmark coverage, with Ollama wrapper on llama.cpp as the best runtime hint. 18.5 GB headroom leaves workable context margin.
16	Qwen3.5-4B4B parameters	161	8bit	148.0 tok/s Fastest evidence path: 8bit · 148.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	18.8 GB	133k	Recent model release in the current catalog. 8bit is the highest practical quality here. 148.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 18.8 GB headroom leaves workable context margin.

Machine

24GBUnified memory

$2,499MSRP

macbook_proForm factor

M4 ProChip

Other Macs with the M4 Pro

Mac Mini M4 Pro 24GB Mac Mini M4 Pro 48GB MacBook Pro M4 Pro 24GB 14-inch MacBook Pro M4 Pro 48GB 14-inch MacBook Pro M4 Pro 48GB 16-inch