What is the best local LLM for MacBook Pro M4 Max 64GB 16-inch?

Qwen3.6-27B is the current coding-biased local LLM answer for MacBook Pro M4 Max 64GB 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 Max 64GB 16-inch local LLM benchmarks are published?

MacBook Pro M4 Max 64GB 16-inch currently has 1 direct benchmark row across 1 tracked model, with the latest source dated April 17, 2026.

Is MacBook Pro M4 Max 64GB 16-inch enough for local LLMs?

MacBook Pro M4 Max 64GB 16-inch has enough unified memory for serious local LLM work, but speed and context still depend on the model, quantization, and runtime. Use Bench to separate measured rows from sparse or estimated evidence.

Machine answer

Best local LLMs for MacBook Pro M4 Max 64GB 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 Max 64GB 16-inch: Qwen3.6-27B. Use Fit and Bench to verify how much headroom remains once you move past the default answer.

1 benchmark on this exact machine across 1 model. 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 Max 64GB 16-inch?: Qwen3.6-27B is the current coding-biased local LLM answer for MacBook Pro M4 Max 64GB 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 Max 64GB 16-inch local LLM benchmarks are published?: MacBook Pro M4 Max 64GB 16-inch currently has 1 direct benchmark row across 1 tracked model, with the latest source dated April 17, 2026.
Is MacBook Pro M4 Max 64GB 16-inch enough for local LLMs?: MacBook Pro M4 Max 64GB 16-inch has enough unified memory for serious local LLM work, but speed and context still depend on the model, quantization, and runtime. Use Bench to separate measured rows from sparse or estimated evidence.

Best local LLMs for this Mac

21 ranked modelsNewest listed release April 22, 2026Latest benchmark source April 27, 2026

MacBook Pro M4 Max 64GB 16-inch, ranked for coding with most capable favored and using the strongest available runtime evidence for each model. Older baseline models are hidden.

Mac

Capability

Bias

Runtime

25 older models hiddenShow older models

Evidence notes for recent modelsSee sources, gaps, and supporting ranking details.

Use the strongest current runtime evidence for each row.Largest fit: Llama 4 Scout 17B-16E at q4.1bit (17B active / 109B total)Fastest read: Qwen3.5-4B at 148.0 tok/s on MLXEvidence is still sparse for Gemma 4 31B, Qwen3.6-27B, Qwen3.6-35B-A3B +1; those rows remain provisional.

Gemma 4 31B

released 2026-04-02 · 5 official specs captured · 4 benchmark rows · 6 Apple Silicon field sources · first-party measurement queued

Best field report: 28.0 tok/s. The ranking stays provisional until a first-party measurement is available.

Qwen3.6-27B

released 2026-04-22 · 5 official specs captured · 1 benchmark row · 9 Apple Silicon field sources · first-party measurement queued

Best field report: 85.5 tok/s. The ranking stays provisional until a first-party measurement is available.

Qwen3.6-35B-A3B

released 2026-04-15 · 5 official specs captured · 4 benchmark rows · 15 Apple Silicon field sources · first-party measurement queued

Best field report: 203.1 tok/s. The ranking stays provisional until a first-party measurement is available.

Gemma 4 26B-A4B

released 2026-04-02 · 6 official specs captured · 4 benchmark rows · 6 Apple Silicon field sources · first-party measurement queued

Best field report: 75.1 tok/s. The ranking stays provisional until a first-party measurement is available.

Rank	Model	Score	Quant	Tok/s	Runtime	Evidence	Headroom	Context	Why it ranks here
1	Gemma 4 31B30.7B parameters	290	8bit	22.0 tok/s Fastest evidence path: 8bit · 22.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	27.4 GB	28k	Recent frontier candidate in the current catalog. 8bit is the highest practical quality here. 22.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 27.4 GB headroom leaves workable context margin.
2	Qwen3.6-27B27B parameters	280	8bit	16.6 tok/s Fastest evidence path: 8bit · 16.6 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	36.4 GB	118k	Recent frontier candidate in the current catalog. 8bit 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. 36.4 GB headroom leaves workable context margin.
3	Qwen3.5-27B27B parameters	277	8bit	16.1 tok/s Fastest evidence path: 8bit · 16.1 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	36.4 GB	118k	Recent frontier candidate in the current catalog. 8bit is the highest practical quality here. 16.1 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 36.4 GB headroom leaves workable context margin.
4	Devstral Small 2 24B24B parameters	274	8bit	23.4 tok/s Fastest evidence path: 8bit · 23.4 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	39.9 GB	207k	Recent frontier candidate in the current catalog. 8bit is the highest practical quality here. 23.4 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 39.9 GB headroom leaves workable context margin.
5	Qwen3.6-35B-A3B3B active / 35B total	252	8bit	48.0 tok/s Fastest evidence path: 8bit · 48.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	30.3 GB	262k	Recent frontier candidate in the current catalog. 8bit is the highest practical quality here. 48.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 30.3 GB headroom leaves workable context margin.
6	Gemma 4 26B-A4B3.8B active / 25.2B total	252	8bit	40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	38.2 GB	133k	Recent model release in the current catalog. 8bit is the highest practical quality here. 40.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 38.2 GB headroom leaves workable context margin.
7	Nemotron Cascade 2 30B-A3B3B active / 30B total	250	8bit	28.0 tok/s Fastest evidence path: 8bit · 28.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	35.2 GB	523k	Recent model release in the current catalog. 8bit 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. 35.2 GB headroom leaves workable context margin.
8	Qwen3.5-35B-A3B3B active / 35B total	249	8bit	52.0 tok/s Fastest evidence path: 8bit · 52.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	30.3 GB	262k	Recent model release in the current catalog. 8bit is the highest practical quality here. 52.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 30.3 GB headroom leaves workable context margin.
9	GLM-4.7-Flash3B active / 30B total	247	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	28.2 GB	29k	Recent model release in the current catalog. 8bit is the highest practical quality here. 58.0 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 28.2 GB headroom leaves workable context margin.
10	Nemotron-3-Nano-30B-A3B3.5B active / 30B total	246	8bit	43.7 tok/s Fastest evidence path: 8bit · 43.7 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	35.2 GB	523k	Recent model release in the current catalog. 8bit is the highest practical quality here. 43.7 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 35.2 GB headroom leaves workable context margin.
11	Magistral Small24B parameters	242	8bit	Measure it	Best available	Fit-firstFirst-party M5 batch queued	39.9 GB	41k	8bit is the highest practical quality here. Speed still needs direct speed coverage. 39.9 GB headroom leaves workable context margin.
12	Ministral 3 14B14B parameters	232	8bit	40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	49.2 GB	262k	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. 49.2 GB headroom leaves workable context margin.
13	Gemma 4 E4B8B parameters	230	8bit	78.0 tok/s Fastest evidence path: 8bit · 78.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	55.4 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 Ollama wrapper on llama.cpp as the best runtime hint. 55.4 GB headroom leaves workable context margin.
14	Qwen3.5-9B9B parameters	230	8bit	35.0 tok/s Fastest evidence path: 8bit · 35.0 tok/s · llama.cpp · Estimated	llama.cpp	EstimatedFirst-party M5 batch queued	54.1 GB	262k	Recent model release in the current catalog. 8bit is the highest practical quality here. 35.0 tok/s estimated from nearby benchmark coverage, with llama.cpp backend as the best runtime hint. 54.1 GB headroom leaves workable context margin.
15	Ministral 3 8B8B parameters	223	8bit	72.0 tok/s Fastest evidence path: 8bit · 72.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	55.0 GB	262k	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. 55.0 GB headroom leaves workable context margin.
16	gpt-oss 20B3.6B active / 21B total	217	8bit	Measure it	MLX	Fit-firstFirst-party M5 batch queued	43.6 GB	131k	8bit is the highest practical quality here. Speed still needs direct speed coverage. 43.6 GB headroom leaves workable context margin.
17	Qwen3-Coder-Next3B active / 80B total	171	Q5_K_M	74.0 tok/s Fastest evidence path: Q5_K_M · 74.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	9.8 GB	10k	Recent model release in the current catalog. Q5_K_M is the highest practical quality here. 74.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 9.8 GB headroom leaves workable context margin.
18	Gemma 4 E2B5.1B parameters	170	8bit	95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · Estimated	Ollama	EstimatedFirst-party M5 batch queued	58.5 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. 58.5 GB headroom leaves workable context margin.
19	Llama 4 Scout 17B-16E17B active / 109B total	170	q4.1bit	26.0 tok/s Fastest evidence path: q4.1bit · 26.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	10.0 GB	10k	q4.1bit is the highest practical quality here. 26.0 tok/s estimated from nearby benchmark coverage, with MLX backend as the best runtime hint. 10.0 GB headroom leaves workable context margin.
20	Qwen3.5-4B4B parameters	167	8bit	148.0 tok/s Fastest evidence path: 8bit · 148.0 tok/s · MLX · Estimated	MLX	EstimatedFirst-party M5 batch queued	58.8 GB	262k	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. 58.8 GB headroom leaves workable context margin.
21	GLM-4.5-Air12B active / 106B total	163	MXFP4	18.0 tok/s Fastest evidence path: MXFP4 · 18.0 tok/s · LM Studio · Estimated	LM Studio	EstimatedFirst-party M5 batch queued	9.6 GB	8k	MXFP4 is the highest practical quality here. 18.0 tok/s estimated from nearby benchmark coverage, with LM Studio wrapper on mixed as the best runtime hint. 9.6 GB headroom leaves workable context margin.

Machine

64GBUnified memory

$4,499MSRP

macbook_proForm factor

M4 MaxChip

Other Macs with the M4 Max

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