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Canonical Rankings

Best Macs for this model

gpt-oss 120B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.

29 ranked MacsUse the strongest current runtime evidence for each row.28 historical models hiddenStatic paths cover only canonical model pages; sort and quantization stay as query state.
RankMacScoreQuantTok/sRuntimeFitsHeadroomContextEvidencePriceWhy it ranks here
1Mac Studio M3 Ultra 256GB2528bit 10.0 tok/s Fastest evidence path: 8bit · 10.0 tok/s · Ollama · EstimatedOllamaFits146.0 GB131kEstimated$7,4998bit is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 146.0 GB headroom remains at this quantization.
2Mac Pro M2 Ultra 192GB1888bit 10.0 tok/s Fastest evidence path: 8bit · 10.0 tok/s · Ollama · EstimatedOllamaFits82.0 GB131kEstimated$6,9998bit is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 82.0 GB headroom remains at this quantization.
3Mac Studio M4 Max 128GB138Q6_K 10.0 tok/s Fastest evidence path: Q6_K · 10.0 tok/s · Ollama · EstimatedOllamaFits37.6 GB131kEstimated$4,499Q6_K is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 37.6 GB headroom remains at this quantization.
4MacBook Pro M4 Max 128GB 16-inch138Q6_K 10.0 tok/s Fastest evidence path: Q6_K · 10.0 tok/s · Ollama · EstimatedOllamaFits37.6 GB131kEstimated$5,999Q6_K is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 37.6 GB headroom remains at this quantization.
5MacBook Pro M5 Max 128GB 16-inch126Q6_K 7.0 tok/s Fastest evidence path: Q6_K · 7.0 tok/s · Ollama · EstimatedOllamaFits37.6 GB131kEstimated$5,399Q6_K is the current best practical quantization. 7.0 tok/s is estimated from nearby benchmark coverage. 37.6 GB headroom remains at this quantization.
6Mac Studio M3 Ultra 96GB117Q5_K_M 10.0 tok/s Fastest evidence path: Q5_K_M · 10.0 tok/s · Ollama · EstimatedOllamaFits17.4 GB52kEstimated$3,999Q5_K_M is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 17.4 GB headroom remains at this quantization.
7Mac Studio M4 Max 64GB78Q3_K_L 10.0 tok/s Fastest evidence path: Q3_K_L · 10.0 tok/s · Ollama · EstimatedOllamaFits13.5 GB65kEstimated$2,999Q3_K_L is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 13.5 GB headroom remains at this quantization.
8MacBook Pro M4 Max 64GB 16-inch78Q3_K_L 10.0 tok/s Fastest evidence path: Q3_K_L · 10.0 tok/s · Ollama · EstimatedOllamaFits13.5 GB65kEstimated$4,499Q3_K_L is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 13.5 GB headroom remains at this quantization.
9Mac Mini M4 Pro 48GB74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$1,599mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
10MacBook Pro M4 Pro 48GB 14-inch74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$2,499mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
11Mac Studio M4 Max 48GB74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$2,499mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
12MacBook Pro M4 Pro 48GB 16-inch74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$2,999mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
13MacBook Pro M4 Max 48GB 14-inch74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$3,499mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
14MacBook Pro M4 Max 48GB 16-inch74mlx-dynamic-2.7bpw 10.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 10.0 tok/s · Ollama · EstimatedOllamaFits10.2 GB51kEstimated$3,999mlx-dynamic-2.7bpw is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
15Mac Studio M4 Max 36GB70IQ2_K_S 10.0 tok/s Fastest evidence path: IQ2_K_S · 10.0 tok/s · Ollama · EstimatedOllamaFits6.3 GB22kEstimated$1,999IQ2_K_S is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
16MacBook Pro M4 Max 36GB 14-inch70IQ2_K_S 10.0 tok/s Fastest evidence path: IQ2_K_S · 10.0 tok/s · Ollama · EstimatedOllamaFits6.3 GB22kEstimated$2,999IQ2_K_S is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
17MacBook Pro M4 Max 36GB 16-inch70IQ2_K_S 10.0 tok/s Fastest evidence path: IQ2_K_S · 10.0 tok/s · Ollama · EstimatedOllamaFits6.3 GB22kEstimated$3,499IQ2_K_S is the current best practical quantization. 10.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
18Mac Mini M4 16GB0F32 OllamaNo-420.9 GBEstimated$499gpt-oss 120B does not fit on Mac Mini M4 16GB at the current practical quantization.
19Mac Mini M4 24GB0F32 OllamaNo-412.9 GBEstimated$599gpt-oss 120B does not fit on Mac Mini M4 24GB at the current practical quantization.
20Mac Mini M4 32GB0F32 OllamaNo-404.9 GBEstimated$799gpt-oss 120B does not fit on Mac Mini M4 32GB at the current practical quantization.
21MacBook Air M4 16GB 13-inch0F32 OllamaNo-420.9 GBEstimated$1,099gpt-oss 120B does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
22MacBook Air M4 24GB 13-inch0F32 OllamaNo-412.9 GBEstimated$1,299gpt-oss 120B does not fit on MacBook Air M4 24GB 13-inch at the current practical quantization.
23MacBook Air M4 16GB 15-inch0F32 OllamaNo-420.9 GBEstimated$1,299gpt-oss 120B does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization.
24Mac Mini M4 Pro 24GB0F32 OllamaNo-412.9 GBEstimated$1,399gpt-oss 120B does not fit on Mac Mini M4 Pro 24GB at the current practical quantization.
25MacBook Air M4 32GB 13-inch0F32 OllamaNo-404.9 GBEstimated$1,499gpt-oss 120B does not fit on MacBook Air M4 32GB 13-inch at the current practical quantization.
26MacBook Air M4 24GB 15-inch0F32 OllamaNo-412.9 GBEstimated$1,499gpt-oss 120B does not fit on MacBook Air M4 24GB 15-inch at the current practical quantization.
27MacBook Air M4 32GB 15-inch0F32 OllamaNo-404.9 GBEstimated$1,699gpt-oss 120B does not fit on MacBook Air M4 32GB 15-inch at the current practical quantization.
28MacBook Pro M4 Pro 24GB 14-inch0F32 OllamaNo-412.9 GBEstimated$1,999gpt-oss 120B does not fit on MacBook Pro M4 Pro 24GB 14-inch at the current practical quantization.
29MacBook Pro M4 Pro 24GB 16-inch0F32 OllamaNo-412.9 GBEstimated$2,499gpt-oss 120B does not fit on MacBook Pro M4 Pro 24GB 16-inch at the current practical quantization.

gpt-oss 120B — 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: Q4_K - Medium

2Benchmark rows
2Chip tiers covered
10.0Fastest avg tok/s (M4 Ultra (192 GB))
Minimum RAM observed

Fastest published result is 10.0 tok/s on M4 Ultra (192 GB) at Q4_K - Medium. Published runtimes include MLX, 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: MLX, Ollama.

117BTotal params
5.1BActive params
131,072Context window
2025-08-05Release 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.

Permissive Apache 2.0 license: Build freely without copyleft restrictions or patent risk—ideal for experimentation, customization, and commercial deployment. Configurable reasoning effort: Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs.

Official source  ·  Raw model card

agentscodingreasoning

Official specs

  • Architecture: Mixture of experts.
  • Total parameters: 117B.
  • Active parameters: 5.1B.
  • Context: 131072 tokens.
  • Experts: 4 active / 128 total.
  • Quantization: MXFP4 MoE weights.

Official takeaways

  • Permissive Apache 2.0 license: Build freely without copyleft restrictions or patent risk—ideal for experimentation, customization, and commercial deployment.
  • Configurable reasoning effort: Easily adjust the reasoning effort (low, medium, high) based on your specific use case and latency needs.
  • MXFP4 quantization: The models were post-trained with MXFP4 quantization of the MoE weights, making gpt-oss-120b run on a single 80GB GPU (like NVIDIA H100 or AMD MI300X) and the gpt-oss-20b model run within 16GB of mem…

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

gpt-oss 120B: 3 Apple Silicon field reports; best reported generation ~87.873 tok/s; best reported prompt processing ~2710.46 tok/s; reported RAM use ~64.41-65.46GB; seen on MacBook Pro M5 MAX 128GB; via MLX.

2Benchmark rows
3Field reports
1Practitioner signals
Sparse BenchmarksEvidence status

What practitioners keep saying

  • The captured post says the operator re-ran with a fresh Python virtual environment and pure mlx_lm / stream_generate after earlier BatchGenerator speeds looked unreliable.
  • At 4096 token context, gpt-oss-120b-MXFP4-Q8 reports 87.873 tok/s generation, 1325.062 tok/s prompt processing, and peak memory 64.408 GB with 128 generated tokens.
  • At 16384 token context, gpt-oss-120b-MXFP4-Q8 reports 75.963 tok/s generation, 2710.460 tok/s prompt processing, and peak memory 64.857 GB with 128 generated tokens.

Apple Silicon field sources

  • r/LocalLLaMA

    2026-03-11 · MacBook Pro M5 Max 128GB · MLX

    A captured M5 Max 128GB MLX sweep gives gpt-oss-120b Apple Silicon fit and speed evidence across short and deeper prompts.

Runtime mentions in the field

MLX

Hardware mentioned in reports

128GBMacBookMacBook Pro

What would improve confidence

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

Published chip coverage includes M4 Ultra (192 GB), M5 Max (128 GB). Fastest published row is 10.0 tok/s on M4 Ultra (192 GB) at Q4_K - Medium.

Related gpt-oss models with published pages: gpt-oss 20B

Raw benchmark rows for gpt-oss 120B

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

ChipQuantRAM req.ContextAvg tok/sPrompt tok/sRuntimeSource
M4 Ultra (192 GB)Q4_K - Medium10.0 tok/sMLXref
M5 Max (128 GB)Q4_K - Medium7.0 tok/sOllamaref

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

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

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