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Canonical Rankings

Best Macs for this model

Gemma 4 26B-A4B 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 256GB4568bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits230.2 GB262kEstimated$7,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 230.2 GB headroom remains at this quantization.
2Mac Pro M2 Ultra 192GB3928bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits166.2 GB262kEstimated$6,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 166.2 GB headroom remains at this quantization.
3MacBook Pro M5 Max 128GB 16-inch3688bit 50.0 tok/s Fastest evidence path: 8bit · 50.0 tok/s · MLX · EstimatedMLXFits102.2 GB262kEstimated$5,3998bit is the current best practical quantization. 50.0 tok/s is estimated from nearby benchmark coverage. 102.2 GB headroom remains at this quantization.
4Mac Studio M4 Max 128GB3288bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits102.2 GB262kEstimated$4,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 102.2 GB headroom remains at this quantization.
5MacBook Pro M4 Max 128GB 16-inch3288bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits102.2 GB262kEstimated$5,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 102.2 GB headroom remains at this quantization.
6Mac Studio M3 Ultra 96GB2968bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits70.2 GB252kEstimated$3,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 70.2 GB headroom remains at this quantization.
7Mac Studio M4 Max 64GB2648bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits38.2 GB133kEstimated$2,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 38.2 GB headroom remains at this quantization.
8MacBook Pro M4 Max 64GB 16-inch2648bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits38.2 GB133kEstimated$4,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 38.2 GB headroom remains at this quantization.
9Mac Mini M4 Pro 48GB2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$1,5998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
10MacBook Pro M4 Pro 48GB 14-inch2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$2,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
11Mac Studio M4 Max 48GB2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$2,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
12MacBook Pro M4 Pro 48GB 16-inch2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$2,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
13MacBook Pro M4 Max 48GB 14-inch2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$3,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
14MacBook Pro M4 Max 48GB 16-inch2488bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits22.2 GB74kEstimated$3,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 22.2 GB headroom remains at this quantization.
15Mac Studio M4 Max 36GB2368bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits10.2 GB29kEstimated$1,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
16MacBook Pro M4 Max 36GB 14-inch2368bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits10.2 GB29kEstimated$2,9998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
17MacBook Pro M4 Max 36GB 16-inch2368bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits10.2 GB29kEstimated$3,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 10.2 GB headroom remains at this quantization.
18Mac Mini M4 32GB2328bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits6.2 GB14kEstimated$7998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 6.2 GB headroom remains at this quantization.
19MacBook Air M4 32GB 13-inch2328bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits6.2 GB14kEstimated$1,4998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 6.2 GB headroom remains at this quantization.
20MacBook Air M4 32GB 15-inch2328bit 40.0 tok/s Fastest evidence path: 8bit · 40.0 tok/s · MLX · EstimatedMLXFits6.2 GB14kEstimated$1,6998bit is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 6.2 GB headroom remains at this quantization.
21Mac Mini M4 16GB187Q3_K_L 40.0 tok/s Fastest evidence path: Q3_K_L · 40.0 tok/s · MLX · EstimatedMLXFits3.0 GB11kEstimated$499Q3_K_L is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization.
22MacBook Air M4 16GB 13-inch187Q3_K_L 40.0 tok/s Fastest evidence path: Q3_K_L · 40.0 tok/s · MLX · EstimatedMLXFits3.0 GB11kEstimated$1,099Q3_K_L is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization.
23MacBook Air M4 16GB 15-inch187Q3_K_L 40.0 tok/s Fastest evidence path: Q3_K_L · 40.0 tok/s · MLX · EstimatedMLXFits3.0 GB11kEstimated$1,299Q3_K_L is the current best practical quantization. 40.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization.
24Mac Mini M4 24GB1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$5996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.
25MacBook Air M4 24GB 13-inch1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$1,2996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.
26Mac Mini M4 Pro 24GB1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$1,3996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.
27MacBook Air M4 24GB 15-inch1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$1,4996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.
28MacBook Pro M4 Pro 24GB 14-inch1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$1,9996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.
29MacBook Pro M4 Pro 24GB 16-inch1766bit 28.0 tok/s Fastest evidence path: 6bit · 28.0 tok/s · Ollama · EstimatedOllamaFits4.0 GB10kEstimated$2,4996bit is the current best practical quantization. 28.0 tok/s is estimated from nearby benchmark coverage. 4.0 GB headroom remains at this quantization.

Gemma 4 26B-A4B — 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

4Benchmark rows
4Chip tiers covered
50.0Fastest avg tok/s (M5 Max (128 GB))
Minimum RAM observed

Fastest published result is 50.0 tok/s on M5 Max (128 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 4 external benchmarks; no lab runs yet.

Published runtimes: MLX, Ollama.

25.2BTotal params
3.8BActive params
262,144Context window
2026-04-02Release 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.

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants.

Official source  ·  Raw model card

agentscodingreasoningvisual-understanding

Runtime support mentioned

llama.cppTransformers

Official specs

  • Architecture: Mixture of experts.
  • Total parameters: 25.2B.
  • Active parameters: 3.8B.
  • Context: 256K tokens.
  • Experts: 8 active / 128 total and 1 shared.
  • Modalities: Text, Image.

Official takeaways

  • Reasoning: All models in the family are designed as highly capable reasoners, with configurable thinking modes.
  • Extended Multimodalities: Processes Text, Image with variable aspect ratio and resolution support (all models), Video, and Audio (featured natively on the E2B and E4B models).
  • Diverse & Efficient Architectures: Offers Dense and Mixture-of-Experts (MoE) variants of different sizes for scalable deployment.
  • Increased Context Window: The small models feature a 128K context window, while the medium models support 256K.

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

Gemma 4 26B-A4B: 9 Apple Silicon field reports; best reported generation ~75.1 tok/s; best reported prompt processing ~1688 tok/s; reported RAM use ~14.2-16.1GB; seen on M5 PRO 64GB, MacBook Pro M4 PRO 24GB, MacBook Pro M5 PRO 64GB; via oMLX, llama.cpp.

4Benchmark rows
9Field reports
6Practitioner signals
Sparse BenchmarksEvidence status

What practitioners keep saying

  • The oMLX context table reports gemma-4-26b-a4b-it 4bit on an M1 Max 24-core 64GB Mac at 1024 tokens context with 347.1 tok/s prompt processing, 48.3 tok/s generation, 2.950s TTFT, and peak memory at 14.3GB.
  • The oMLX context table reports gemma-4-26b-a4b-it 4bit on an M1 Max 24-core 64GB Mac at 4096 tokens context with 378.1 tok/s prompt processing, 46.1 tok/s generation, 10.833s TTFT, and peak memory at 14.9GB.
  • The page also includes separate batching results; keep batching separate from single-stream ranking claims until first-party methodology matches it.

Apple Silicon field sources

  • oMLX community benchmarks

    2026-05-05 · M1 Max 24-core GPU, 64GB unified memory · oMLX

    A same-day oMLX sweep shows Gemma 4 26B-A4B running comfortably on an M1 Max 64GB setup, adding older high-memory Max coverage for the efficient Gemma 4 lane.

  • oMLX community benchmarks

    2026-05-05 · M5 Pro 20-core GPU, 64GB unified memory · oMLX

    A same-day oMLX sweep shows Gemma 4 26B-A4B staying fast on an M5 Pro 64GB setup, adding a clean middle step between constrained M5 laptops and M5 Max reproduction targets.

  • oMLX community benchmarks

    2026-05-03 · M5 24GB · oMLX

    A same-day oMLX report puts Gemma 4 26B-A4B 4-bit on a 24GB M5 Mac, making it a current efficiency candidate for small unified-memory Apple Silicon systems.

  • oMLX community benchmarks

    2026-04-13 · MacBook Pro M4 Pro 24GB · oMLX

    Gemma 4 26B-A4B has an oMLX 4-bit M4 Pro 24GB report, making it a practical frontier candidate for laptops below the larger-memory pro tiers.

  • r/LocalLLaMA

    2026-04-06 · MacBook Air M5 32GB · llama.cpp

    mac-llm-bench reports Gemma 4 26B-A4B fitting on a MacBook Air M5 32GB at interactive-but-modest GGUF speed, which keeps the model relevant while reinforcing runtime-specific caveats.

1 more Apple Silicon field source tracked in the research queue.

Runtime mentions in the field

llama.cppoMLX

Hardware mentioned in reports

24GB32GB64GBM1 MaxM4M4 ProMacMacBook

What would improve confidence

  • Reproduce Field Performance Signal
  • Upgrade To First Party Measurement

Published chip coverage includes M5 Max (128 GB), M4 Max (48 GB), M5 Pro (24 GB), M4 Pro (24 GB). Fastest published row is 50.0 tok/s on M5 Max (128 GB) at Q4_K - Medium.

Related Gemma 4 models with published pages: Gemma 4 E4B · Gemma 4 31B · Gemma 4 E2B

Raw benchmark rows for Gemma 4 26B-A4B

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
M5 Max (128 GB)Q4_K - Medium50.0 tok/sMLXref
M4 Max (48 GB)Q4_K - Medium40.0 tok/sMLXref
M5 Pro (24 GB)Q4_K - Medium35.0 tok/sOllamaref
M4 Pro (24 GB)Q4_K - Medium28.0 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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