Canonical Rankings

Best Macs for this model

Qwen 2.5 72B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Historical baseline selected; model picker is focused on current-market choices.

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29 ranked MacsUse the strongest current runtime evidence for each row.27 other historical models hiddenBaselinesStatic paths cover only canonical model pages; sort and quantization stay as query state.

Historical baseline selected: Qwen 2.5 72B. Default model choices remain current-market; other historical models stay hidden.

Rank	Mac	Score	Quant	Tok/s	Runtime	Fits	Headroom	Context	Evidence	Price	Why it ranks here
1	Mac Studio M3 Ultra 256GB	311	8bit	15.0 tok/s Fastest evidence path: 8bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	185.3 GB	131k	Estimated	$7,499	8bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 185.3 GB headroom remains at this quantization.
2	Mac Pro M2 Ultra 192GB	247	8bit	15.0 tok/s Fastest evidence path: 8bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	121.3 GB	131k	Estimated	$6,999	8bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 121.3 GB headroom remains at this quantization.
3	Mac Studio M4 Max 128GB	183	8bit	15.0 tok/s Fastest evidence path: 8bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	57.3 GB	131k	Estimated	$4,499	8bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 57.3 GB headroom remains at this quantization.
4	MacBook Pro M4 Max 128GB 16-inch	183	8bit	15.0 tok/s Fastest evidence path: 8bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	57.3 GB	131k	Estimated	$5,999	8bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 57.3 GB headroom remains at this quantization.
5	MacBook Pro M5 Max 128GB 16-inch	163	8bit	10.0 tok/s Fastest evidence path: 8bit · 10.0 tok/s · Ollama · Estimated	Ollama	Fits	57.3 GB	131k	Estimated	$5,399	8bit is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 57.3 GB headroom remains at this quantization.
6	Mac Studio M3 Ultra 96GB	151	8bit	15.0 tok/s Fastest evidence path: 8bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	25.3 GB	44k	Estimated	$3,999	8bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 25.3 GB headroom remains at this quantization.
7	Mac Studio M4 Max 64GB	130	6bit	15.0 tok/s Fastest evidence path: 6bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	10.2 GB	10k	Estimated	$2,999	6bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
8	MacBook Pro M4 Max 64GB 16-inch	130	6bit	15.0 tok/s Fastest evidence path: 6bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	10.2 GB	10k	Estimated	$4,499	6bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
9	Mac Mini M4 Pro 48GB	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$1,599	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
10	MacBook Pro M4 Pro 48GB 14-inch	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$2,499	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
11	Mac Studio M4 Max 48GB	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$2,499	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
12	MacBook Pro M4 Pro 48GB 16-inch	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$2,999	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
13	MacBook Pro M4 Max 48GB 14-inch	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$3,499	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
14	MacBook Pro M4 Max 48GB 16-inch	123	MXFP4	15.0 tok/s Fastest evidence path: MXFP4 · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	9.0 GB	14k	Estimated	$3,999	MXFP4 is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 9.0 GB headroom remains at this quantization.
15	Mac Studio M4 Max 36GB	92	3bit	15.0 tok/s Fastest evidence path: 3bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	7.6 GB	15k	Estimated	$1,999	3bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 7.6 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 14-inch	92	3bit	15.0 tok/s Fastest evidence path: 3bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	7.6 GB	15k	Estimated	$2,999	3bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 7.6 GB headroom remains at this quantization.
17	MacBook Pro M4 Max 36GB 16-inch	92	3bit	15.0 tok/s Fastest evidence path: 3bit · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	7.6 GB	15k	Estimated	$3,499	3bit is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 7.6 GB headroom remains at this quantization.
18	Mac Mini M4 32GB	90	mlx-dynamic-2.7bpw	15.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	6.1 GB	13k	Estimated	$799	mlx-dynamic-2.7bpw is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization.
19	MacBook Air M4 32GB 13-inch	90	mlx-dynamic-2.7bpw	15.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	6.1 GB	13k	Estimated	$1,499	mlx-dynamic-2.7bpw is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization.
20	MacBook Air M4 32GB 15-inch	90	mlx-dynamic-2.7bpw	15.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	6.1 GB	13k	Estimated	$1,699	mlx-dynamic-2.7bpw is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization.
21	Mac Mini M4 24GB	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$599	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
22	MacBook Air M4 24GB 13-inch	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$1,299	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
23	Mac Mini M4 Pro 24GB	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$1,399	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
24	MacBook Air M4 24GB 15-inch	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$1,499	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
25	MacBook Pro M4 Pro 24GB 14-inch	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$1,999	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
26	MacBook Pro M4 Pro 24GB 16-inch	88	IQ2_XS	15.0 tok/s Fastest evidence path: IQ2_XS · 15.0 tok/s · Ollama · Estimated	Ollama	Fits	4.1 GB	10k	Estimated	$2,499	IQ2_XS is the current best practical quantization. 15.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
27	Mac Mini M4 16GB	0	F32	—	Ollama	No	-257.8 GB	—	Estimated	$499	Qwen 2.5 72B does not fit on Mac Mini M4 16GB at the current practical quantization.
28	MacBook Air M4 16GB 13-inch	0	F32	—	Ollama	No	-257.8 GB	—	Estimated	$1,099	Qwen 2.5 72B does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
29	MacBook Air M4 16GB 15-inch	0	F32	—	Ollama	No	-257.8 GB	—	Estimated	$1,299	Qwen 2.5 72B does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization.

Qwen 2.5 72B Apple Silicon benchmark and best Macs

Start with the ranked Mac table above, then audit tokens per second, RAM fit, quantization, runtimes, and source links before trusting the model on your Mac.

Quantizations observed: Q4_K - Medium

2Benchmark rows

2Chip tiers covered

15.0Fastest avg tok/s (M4 Ultra (192 GB))

—Minimum RAM observed

Quick take

Fastest published result is 15.0 tok/s on M4 Ultra (192 GB) at Q4_K - Medium. Published runtimes include Ollama. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Based on 2 external benchmarks; no lab runs yet.

Published runtimes: Ollama.

Need the best Mac for this model? Use Buy Need a setup-first answer? Use Run Checking whether it fits? Use Fit Browse Macs by exact hardware Need the full audit trail? Use Bench Comparing against rented GPUs? Use AI Datacenter Index

Best Mac shortlist

These are ranked by the fastest published Qwen 2.5 72B result available for each Mac's chip family. Use them as the search answer, then open the machine page before buying.

Fastest published Mac-family result

MacBook Pro M5 Max 128GB 16-inch maps to 10.0 tok/s from the strongest published chip-family row for Qwen 2.5 72B.

Open MacBook Pro M5 Max 128GB 16-inch · Audit evidence

Model search answers

How fast is Qwen 2.5 72B on Mac?

Qwen 2.5 72B currently has a fastest published Mac result of 15.0 tok/s on M4 Ultra (192 GB) at Q4_K - Medium. Check the raw rows on this page before comparing that number to a different runtime, quantization, or context length.

What is the best Mac for Qwen 2.5 72B?

MacBook Pro M5 Max 128GB 16-inch is the fastest published Mac-family answer for Qwen 2.5 72B on this page right now, at 10.0 tok/s from its chip family. Treat that as a published benchmark starting point, not a universal buying recommendation.

Does Qwen 2.5 72B fit on Apple Silicon?

Qwen 2.5 72B does not yet have a published minimum-RAM fit row on this page. Use Fit before assuming it will run cleanly on a specific Mac.

Catalog record

72.7BTotal params

DenseActive params

131,072Context window

2024-09-19Release date

This is a reference-only model record. It remains useful for historical benchmarks, migration checks, and audit context, but it is excluded from current frontier packs.

What this model is, and what Apple Silicon users are actually seeing

Official model cards tell you what the model is for and which software stacks it targets. Field reality below shows how much Apple Silicon evidence we have so far.

Official brief

Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.

Official source · Raw model card

codingreasoning

Runtime support mentioned

vLLMTransformers

Official specs

Type: Causal Language Models.
Scale: 72.7B.
Context: Full 131,072 tokens and generation 8192 tokens.
Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias.
Total parameters: 72.7B.
Max input: Full 131,072 tokens and generation 8192 tokens.

Official takeaways

Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.
Please refer to our Documentation for usage if you are not familar with vLLM.
To handle extensive inputs exceeding 32,768 tokens, we utilize YaRN, a technique for enhancing model length extrapolation, ensuring optimal performance on lengthy texts.
Qwen2.5 brings the following improvements upon Qwen2: This repo contains the instruction-tuned 72B Qwen2.5 model, which has the following features: Type: Causal Language Models Training Stage: Pretraining & Post-trainin…

Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.

Field reality on Apple Silicon

No structured Apple Silicon field speed reports yet. Qwen 2.5 72B. It is not yet published in the current frontier packs. Benchmark evidence includes 2 Apple Silicon benchmark rows. 1 official model brief captured. 2 fetched artifacts. No curated practitioner signals yet. No structured Apple Silicon field speed reports yet.

2Benchmark rows

0Field reports

0Practitioner signals

Sparse BenchmarksEvidence status

What would improve confidence

Expand Cross Chip Benchmark Coverage
Upgrade To First Party Measurement

Current published coverage

Published chip coverage includes M4 Ultra (192 GB), M5 Max (128 GB). Fastest published row is 15.0 tok/s on M4 Ultra (192 GB) at Q4_K - Medium.

M4 Ultra (192 GB)M5 Max (128 GB)

Related Qwen 2.5 models with published pages: Qwen 2.5 14B · Qwen 2.5 7B

Raw benchmark rows for Qwen 2.5 72B

Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.

Chip	Quant	RAM req.	Context	Avg tok/s	Prompt tok/s	Runtime	Source
M4 Ultra (192 GB)	Q4_K - Medium	—	—	15.0 tok/s	—	Ollama	ref
M5 Max (128 GB)	Q4_K - Medium	—	—	10.0 tok/s	—	Ollama	ref

Chips with published results for Qwen 2.5 72B

M4 Ultra (192 GB)M5 Max (128 GB)

Data

benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv — CSV export

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