Canonical Rankings

Best Macs for this model

GLM-4.7-Flash ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.

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29 ranked MacsUse the strongest current runtime evidence for each row.28 historical models hiddenBaselinesStatic paths cover only canonical model pages; sort and quantization stay as query state.

Rank	Mac	Score	Quant	Tok/s	Runtime	Fits	Headroom	Context	Evidence	Price	Why it ranks here
1	Mac Studio M3 Ultra 256GB	526	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · MLX · Community row	MLX	Fits	220.2 GB	203k	Community row	$7,499	8bit is the current best practical quantization. 58.0 tok/s is backed by direct benchmark coverage. 220.2 GB headroom remains at this quantization.
2	Mac Pro M2 Ultra 192GB	454	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	156.2 GB	150k	Estimated	$6,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 156.2 GB headroom remains at this quantization.
3	Mac Studio M4 Max 128GB	390	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	92.2 GB	90k	Estimated	$4,499	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 92.2 GB headroom remains at this quantization.
4	MacBook Pro M5 Max 128GB 16-inch	390	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	92.2 GB	90k	Estimated	$5,399	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 92.2 GB headroom remains at this quantization.
5	MacBook Pro M4 Max 128GB 16-inch	390	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	92.2 GB	90k	Estimated	$5,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 92.2 GB headroom remains at this quantization.
6	Mac Studio M3 Ultra 96GB	358	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	60.2 GB	59k	Estimated	$3,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 60.2 GB headroom remains at this quantization.
7	Mac Studio M4 Max 64GB	326	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	28.2 GB	29k	Estimated	$2,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 28.2 GB headroom remains at this quantization.
8	MacBook Pro M4 Max 64GB 16-inch	326	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	28.2 GB	29k	Estimated	$4,499	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 28.2 GB headroom remains at this quantization.
9	Mac Mini M4 Pro 48GB	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$1,599	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
10	MacBook Pro M4 Pro 48GB 14-inch	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$2,499	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
11	Mac Studio M4 Max 48GB	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$2,499	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
12	MacBook Pro M4 Pro 48GB 16-inch	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$2,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
13	MacBook Pro M4 Max 48GB 14-inch	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$3,499	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
14	MacBook Pro M4 Max 48GB 16-inch	310	8bit	58.0 tok/s Fastest evidence path: 8bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	12.2 GB	14k	Estimated	$3,999	8bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 12.2 GB headroom remains at this quantization.
15	Mac Studio M4 Max 36GB	299	6bit	58.0 tok/s Fastest evidence path: 6bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	7.2 GB	10k	Estimated	$1,999	6bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 7.2 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 14-inch	299	6bit	58.0 tok/s Fastest evidence path: 6bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	7.2 GB	10k	Estimated	$2,999	6bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 7.2 GB headroom remains at this quantization.
17	MacBook Pro M4 Max 36GB 16-inch	299	6bit	58.0 tok/s Fastest evidence path: 6bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	7.2 GB	10k	Estimated	$3,499	6bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 7.2 GB headroom remains at this quantization.
18	Mac Mini M4 32GB	293	5bit	58.0 tok/s Fastest evidence path: 5bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	6.7 GB	10k	Estimated	$799	5bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
19	MacBook Air M4 32GB 13-inch	293	5bit	58.0 tok/s Fastest evidence path: 5bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	6.7 GB	10k	Estimated	$1,499	5bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
20	MacBook Air M4 32GB 15-inch	293	5bit	58.0 tok/s Fastest evidence path: 5bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	6.7 GB	10k	Estimated	$1,699	5bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
21	Mac Mini M4 24GB	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$599	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
22	MacBook Air M4 24GB 13-inch	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$1,299	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
23	Mac Mini M4 Pro 24GB	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$1,399	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
24	MacBook Air M4 24GB 15-inch	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$1,499	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
25	MacBook Pro M4 Pro 24GB 14-inch	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$1,999	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
26	MacBook Pro M4 Pro 24GB 16-inch	262	3bit	58.0 tok/s Fastest evidence path: 3bit · 58.0 tok/s · llama.cpp · Estimated	llama.cpp	Fits	5.7 GB	11k	Estimated	$2,499	3bit is the current best practical quantization. 58.0 tok/s is estimated from nearby benchmark coverage. 5.7 GB headroom remains at this quantization.
27	Mac Mini M4 16GB	0	F32	—	llama.cpp	No	-103.6 GB	—	Estimated	$499	GLM-4.7-Flash does not fit on Mac Mini M4 16GB at the current practical quantization.
28	MacBook Air M4 16GB 13-inch	0	F32	—	llama.cpp	No	-103.6 GB	—	Estimated	$1,099	GLM-4.7-Flash does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
29	MacBook Air M4 16GB 15-inch	0	F32	—	llama.cpp	No	-103.6 GB	—	Estimated	$1,299	GLM-4.7-Flash does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization.

GLM-4.7-Flash — ranking first, raw rows below

Start with the ranked Mac table above. Use the rest of this page to inspect raw Apple Silicon coverage and model metadata.

Quantizations observed: 8bit, Q4_K_XL

2Benchmark rows

2Chip tiers covered

58.0Fastest avg tok/s (M3 Ultra (256 GB))

17 GBMinimum RAM observed

Quick take

Fastest published result is 58.0 tok/s on M3 Ultra (256 GB) at 8bit. Smallest published fit is 17.0 GB on M1 Max (64 GB). Longest published context on this page is 4k. Published runtimes include llama.cpp, MLX. 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: llama.cpp, MLX.

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Catalog record

30BTotal params

3BActive params

202,752Context window

2026-01-19Release date

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

For multi-turn agentic tasks (τ²-Bench and Terminal Bench 2), please turn on Preserved Thinking mode.

Official source · Raw model card

agentscodingreasoning

Runtime support mentioned

vLLMSGLangTransformers

Official specs

Architecture: Mixture of experts.
Total parameters: 30B.
Active parameters: 3B.

Official takeaways

For local deployment, GLM-4.7-Flash supports inference frameworks including vLLM and SGLang.
For multi-turn agentic tasks (τ²-Bench and Terminal Bench 2), please turn on Preserved Thinking mode.
Install the supported versions of SGLang and Transformers (using uv is recommended): For Blackwell GPUs, include --attention-backend triton --speculative-draft-attention-backend triton in your SGLang launch command.
vLLM and SGLang only support GLM-4.7-Flash on their main branches.

Deployment notes

For local deployment, GLM-4.7-Flash supports inference frameworks including vLLM and SGLang. Comprehensive deployment instructions are available in the official Github repository.
vLLM and SGLang only support GLM-4.7-Flash on their main branches.

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

Field reality on Apple Silicon

GLM-4.7-Flash: 1 Apple Silicon field report; best reported generation ~36.8 tok/s; best reported prompt processing ~99.4 tok/s; seen on MacBook Pro M1 MAX 64GB; via llama.cpp.

2Benchmark rows

1Field reports

2Practitioner signals

Sparse BenchmarksEvidence status

What practitioners keep saying

The thread treats GLM-4.7-Flash as one of the current MoE models worth directly comparing on Apple Silicon.
This is a signal that GLM-4.7-Flash should be benchmarked and caveated, not ignored.
The thread ties looping and poor behavior to an implementation bug rather than pure model quality.

Apple Silicon field sources

r/LocalLLaMA
2026-02-24 · MacBook Pro M1 Max 64GB · llama.cpp
GLM-4.7-Flash is already part of the serious 30B-class Apple Silicon comparison set, not a hypothetical future candidate.
r/LocalLLaMA
2026-01-20 · Local llama.cpp runtime · llama.cpp
Practitioners found current llama.cpp behavior for GLM-4.7-Flash unstable enough that early local impressions may be misleading until fixes land.

Runtime mentions in the field

llama.cpp

Hardware mentioned in reports

64GBM1 MaxMacBookMacBook Pro

What would improve confidence

Expand Cross Chip Benchmark Coverage
Reproduce Field Performance Signal
Upgrade To First Party Measurement

Current published coverage

Published chip coverage includes M3 Ultra (256 GB), M1 Max (64 GB). Fastest published row is 58.0 tok/s on M3 Ultra (256 GB) at 8bit. Lowest published RAM requirement is 17.0 GB on M1 Max (64 GB). Catalog context window is 4k.

M3 Ultra (256 GB)M1 Max (64 GB)

Raw benchmark rows for GLM-4.7-Flash

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
M3 Ultra (256 GB)	8bit	—	—	58.0 tok/s	—	MLX	ref
M1 Max (64 GB)	Q4_K_XL	17.0 GB	4k	36.8 tok/s	99.4 tok/s	llama.cpp	ref

Best Macs for GLM-4.7-Flash

Ordered by fastest published tok/s on the chip family in each Mac. Click through for the full machine page.

Mac Studio M3 Ultra 96GB — 58.0 tok/s Mac Studio M3 Ultra 256GB — 58.0 tok/s

Chips with published results for GLM-4.7-Flash

M3 Ultra (256 GB)M1 Max (64 GB)

Data

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

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