How fast is GLM-5.1 on Mac?
GLM-5.1 is tracked for Apple Silicon, but no direct Mac benchmark row is published yet. Use the ranking above for the current fit path, then watch Bench for the first direct Apple Silicon rows.
Canonical Rankings
Best Macs for this model
GLM-5.1 ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.
| Rank | Mac | Score | Quant | Tok/s | Runtime | Fits | Headroom | Context | Evidence | Price | Why it ranks here |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mac Studio M3 Ultra 256GB | 121 | IQ2_XS | 16.0 tok/s Fastest evidence path: IQ2_XS · 16.0 tok/s · MLX · Field signal | MLX | Fits | 41.0 GB | 9k | Field signal | $7,499 | IQ2_XS is the current best practical quantization. 16.0 tok/s only comes from Apple Silicon field signals. 41.0 GB headroom remains at this quantization. |
| 2 | Mac Mini M4 16GB | 0 | F32 | — | MLX | No | -2831.9 GB | — | Fit-first | $499 | GLM-5.1 does not fit on Mac Mini M4 16GB at the current practical quantization. |
| 3 | Mac Mini M4 24GB | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $599 | GLM-5.1 does not fit on Mac Mini M4 24GB at the current practical quantization. |
| 4 | Mac Mini M4 32GB | 0 | F32 | — | MLX | No | -2815.9 GB | — | Fit-first | $799 | GLM-5.1 does not fit on Mac Mini M4 32GB at the current practical quantization. |
| 5 | MacBook Air M4 16GB 13-inch | 0 | F32 | — | MLX | No | -2831.9 GB | — | Fit-first | $1,099 | GLM-5.1 does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization. |
| 6 | MacBook Air M4 24GB 13-inch | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $1,299 | GLM-5.1 does not fit on MacBook Air M4 24GB 13-inch at the current practical quantization. |
| 7 | MacBook Air M4 16GB 15-inch | 0 | F32 | — | MLX | No | -2831.9 GB | — | Fit-first | $1,299 | GLM-5.1 does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization. |
| 8 | Mac Mini M4 Pro 24GB | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $1,399 | GLM-5.1 does not fit on Mac Mini M4 Pro 24GB at the current practical quantization. |
| 9 | MacBook Air M4 32GB 13-inch | 0 | F32 | — | MLX | No | -2815.9 GB | — | Fit-first | $1,499 | GLM-5.1 does not fit on MacBook Air M4 32GB 13-inch at the current practical quantization. |
| 10 | MacBook Air M4 24GB 15-inch | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $1,499 | GLM-5.1 does not fit on MacBook Air M4 24GB 15-inch at the current practical quantization. |
| 11 | Mac Mini M4 Pro 48GB | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $1,599 | GLM-5.1 does not fit on Mac Mini M4 Pro 48GB at the current practical quantization. |
| 12 | MacBook Air M4 32GB 15-inch | 0 | F32 | — | MLX | No | -2815.9 GB | — | Fit-first | $1,699 | GLM-5.1 does not fit on MacBook Air M4 32GB 15-inch at the current practical quantization. |
| 13 | MacBook Pro M4 Pro 24GB 14-inch | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $1,999 | GLM-5.1 does not fit on MacBook Pro M4 Pro 24GB 14-inch at the current practical quantization. |
| 14 | Mac Studio M4 Max 36GB | 0 | F32 | — | MLX | No | -2811.9 GB | — | Fit-first | $1,999 | GLM-5.1 does not fit on Mac Studio M4 Max 36GB at the current practical quantization. |
| 15 | MacBook Pro M4 Pro 48GB 14-inch | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $2,499 | GLM-5.1 does not fit on MacBook Pro M4 Pro 48GB 14-inch at the current practical quantization. |
| 16 | MacBook Pro M4 Pro 24GB 16-inch | 0 | F32 | — | MLX | No | -2823.9 GB | — | Fit-first | $2,499 | GLM-5.1 does not fit on MacBook Pro M4 Pro 24GB 16-inch at the current practical quantization. |
| 17 | Mac Studio M4 Max 48GB | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $2,499 | GLM-5.1 does not fit on Mac Studio M4 Max 48GB at the current practical quantization. |
| 18 | MacBook Pro M4 Max 36GB 14-inch | 0 | F32 | — | MLX | No | -2811.9 GB | — | Fit-first | $2,999 | GLM-5.1 does not fit on MacBook Pro M4 Max 36GB 14-inch at the current practical quantization. |
| 19 | MacBook Pro M4 Pro 48GB 16-inch | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $2,999 | GLM-5.1 does not fit on MacBook Pro M4 Pro 48GB 16-inch at the current practical quantization. |
| 20 | Mac Studio M4 Max 64GB | 0 | F32 | — | MLX | No | -2783.9 GB | — | Fit-first | $2,999 | GLM-5.1 does not fit on Mac Studio M4 Max 64GB at the current practical quantization. |
| 21 | MacBook Pro M4 Max 48GB 14-inch | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $3,499 | GLM-5.1 does not fit on MacBook Pro M4 Max 48GB 14-inch at the current practical quantization. |
| 22 | MacBook Pro M4 Max 36GB 16-inch | 0 | F32 | — | MLX | No | -2811.9 GB | — | Fit-first | $3,499 | GLM-5.1 does not fit on MacBook Pro M4 Max 36GB 16-inch at the current practical quantization. |
| 23 | MacBook Pro M4 Max 48GB 16-inch | 0 | F32 | — | MLX | No | -2799.9 GB | — | Fit-first | $3,999 | GLM-5.1 does not fit on MacBook Pro M4 Max 48GB 16-inch at the current practical quantization. |
| 24 | Mac Studio M3 Ultra 96GB | 0 | F32 | — | MLX | No | -2751.9 GB | — | Field signal | $3,999 | GLM-5.1 does not fit on Mac Studio M3 Ultra 96GB at the current practical quantization. |
| 25 | MacBook Pro M4 Max 64GB 16-inch | 0 | F32 | — | MLX | No | -2783.9 GB | — | Fit-first | $4,499 | GLM-5.1 does not fit on MacBook Pro M4 Max 64GB 16-inch at the current practical quantization. |
| 26 | Mac Studio M4 Max 128GB | 0 | F32 | — | MLX | No | -2719.9 GB | — | Fit-first | $4,499 | GLM-5.1 does not fit on Mac Studio M4 Max 128GB at the current practical quantization. |
| 27 | MacBook Pro M5 Max 128GB 16-inch | 0 | F32 | — | MLX | No | -2719.9 GB | — | Fit-first | $5,399 | GLM-5.1 does not fit on MacBook Pro M5 Max 128GB 16-inch at the current practical quantization. |
| 28 | MacBook Pro M4 Max 128GB 16-inch | 0 | F32 | — | MLX | No | -2719.9 GB | — | Fit-first | $5,999 | GLM-5.1 does not fit on MacBook Pro M4 Max 128GB 16-inch at the current practical quantization. |
| 29 | Mac Pro M2 Ultra 192GB | 0 | F32 | — | MLX | No | -2655.9 GB | — | Fit-first | $6,999 | GLM-5.1 does not fit on Mac Pro M2 Ultra 192GB at the current practical quantization. |
GLM-5.1 Apple Silicon catalog 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.
0Benchmark rows
0Chip tiers covered
—Fastest avg tok/s
—Minimum RAM observed
Quick take
GLM-5.1 is cataloged because Apple Silicon buyers are already searching for it. GLM-5.1: 7 practitioner claims; 7 captured from fetched artifacts; hardware mentions: 128GB, M3 Ultra, M4, Mac; runtime mentions: MLX, oMLX; themes: apple_silicon_viability, coding_quality, fit_and_memory, operational_caution, runtime_tuning; includes operational caveats. Use the ranking above for the current best Mac path, then open Bench when direct evidence lands.
7 practitioner signals tracked so far, no benchmarks yet.
Model search answers
What is the best Mac for GLM-5.1?
There is no direct best-Mac benchmark winner for GLM-5.1 yet. Use the ranking above to find the current Apple Silicon fit path and return to this page when direct rows land.
Does GLM-5.1 fit on Apple Silicon?
GLM-5.1 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
753.9BTotal params
DenseActive params
202,752Context window
2026-04-07Release date
No Apple Silicon benchmark rows are published for this model yet.
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
GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor.
Official source · Raw model card
agentscodingreasoning
Runtime support mentioned
SGLangvLLMxLLMTransformersKTransformers
Official specs
- Architecture: GlmMoeDsaForCausalLM.
- Context: 202752 tokens.
- Experts: 8 active / 256 total.
- Layers: 78.
- Attention heads: 64 query / 64 KV.
- Total parameters: 753.864B.
Official takeaways
- GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor.
- But the most meaningful leap goes beyond first-pass performance.
Deployment notes
- Official model card lists SGLang v0.5.10+, vLLM v0.19.0+, xLLM v0.8.0+, Transformers v0.5.3+, and KTransformers v0.5.3+ as local deployment paths.
Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.
Field reality on Apple Silicon
GLM-5.1: 7 Apple Silicon field reports; best reported generation ~19.527 tok/s; best reported prompt processing ~194.216 tok/s; reported RAM use ~251-382.6GB; seen on Mac Studio M3 ULTRA 512GB, Mac Studio M3 ULTRA 256GB; via MLX, oMLX.
0Benchmark rows
7Field reports
7Practitioner signals
No BenchmarksEvidence status
What practitioners keep saying
- The card reports GLM-5.1 2.906 bpw MLX quant on a Mac Studio M3 Ultra 512GB with 194.216 tok/s prompt processing, 19.527 tok/s generation, and peak memory at 272.358GB using 1024 prompt tokens, 512 generated tokens, and 5 trials.
- The Hugging Face API reports the model was created on 2026-04-08 and last modified on 2026-04-27, so use 2026-04-27 as the source date for this card snapshot.
- The card is useful for quantization comparison against the 2.681 bpw Alis card, but it should not become a canonical benchmark row until reproduced or imported through a trusted methodology path with Silicon Score hygiene.
Apple Silicon field sources
Spicyneuron Hugging Face model cards
A GLM-5.1 MLX 2.906 bpw community quantization card reports M3 Ultra 512GB benchmark methodology and memory, adding a second direct MLX reproduction target for extreme-memory Apple Silicon.
Spicyneuron Hugging Face model cards
A GLM-5.1 MLX 3.645 bpw quality-first community quantization card reports M3 Ultra 512GB benchmark methodology, adding a higher-memory reproduction target beside the existing 2.9-bit compact card.
A LocalLLaMA M3 Ultra Mac Studio thread reports GLM-5.1 Q4 running on high-memory Apple Silicon, with a commenter giving only rough context-dependent throughput and warning that prompt processing is the weak point.
An MLX issue shows that distributed GLM-5.1-MXFP4-Q8 throughput depends heavily on benchmark setup: an initial two-node M3 Ultra report was extremely slow, while an MLX maintainer later pointed to the proper distributed benchmark path and closed the issue as not a kernel bug.
Avlp12 Hugging Face model cards
A GLM-5.1 MLX dynamic-quantization card reports M3 Ultra 512GB throughput and memory, giving Silicon Score a concrete Apple Silicon reproduction target with lower memory than uniform 4-bit claims.
1 more Apple Silicon field source tracked in the research queue.
Runtime/source notes to verify
Zai Org Hugging Face model cards
The official GLM-5.1 model card says open-source local-serving frameworks support the model, but it does not establish that GLM-5.1 is practical on Apple Silicon.
Runtime mentions in the field
MLXoMLX
Hardware mentioned in reports
128GBM3 UltraM4MacMac Studio
What would improve confidence
- Benchmark Current Apple Silicon Hot Model
- Collect First Apple Silicon Benchmark
- Reproduce Field Performance Signal
- Upgrade To First Party Measurement
Current published coverage
This page stays published because the model is in the current frontier catalog, but Apple Silicon speed coverage is still missing.
Raw benchmark rows for GLM-5.1
Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.
No benchmark rows are published yet for this model. The ranking above still shows the best current Mac fit path, but the benchmark section stays empty until direct Apple Silicon measurements land.
Data
benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv — CSV export