LocalFit

Apple M5 Max (32-core GPU), 36 GB: which models fit?

Apple Silicon Mac

Apple M5 Max (32-core GPU), 36 GB

Memory36 GB unifiedBandwidth460 GB/s vendor specPlanned for models27.0 GiB 75% of unified memoryFilesMLX Apple MLX format

Editorial pick · 36 GB MacsQwen3.8-27B MLX 4-bit All picks

Context
Files

Budget = file + KV cache + 1 GiB runtime + 0.5 GiB spare. Macs: 75% of memory. Details

32 models fit M5 Max 32c GPU · 36 GB · 8K context

Ranked by Artificial Analysis Intelligence Index, unranked models last. Arena is shown separately. How ranking works

Intelligence

Artificial Analysis Intelligence Index · top 10 models that fit M5 Max 32c GPU · 36 GB · higher is better

  1. Qwen3.8-27B33.7
  2. G9v3-39A5B (preview)21.8
  3. K2-Horizon-7B20.6
  4. Qwen3.6-35B-A3B18.2
  5. Muse Glimmer 30B17.5
  6. K2-Horizon-3.7B15.6
  7. Qwen3.5-9B13.3
  8. Qwen3.5-4B13.1
  9. NVIDIA Nemotron 3.5 Lightning 30B-A3B12.9
  10. IBM Granite 4.2 30B12.7

AA estimate

Generation speed

Tokens per second on M5 Max 32c GPU · 36 GB, best file for each of the same models · higher is better

  1. Qwen3.6-35B-A3B~89.9
  2. NVIDIA Nemotron 3.5 Lightning 30B-A3B~88.4
  3. Qwen3.5-4B~73.7
  4. K2-Horizon-3.7B~70.4
  5. G9v3-39A5B (preview)~53.7
  6. K2-Horizon-7B~39.6
  7. Qwen3.5-9B~36.3
  8. Qwen3.8-27B~23.6
  9. IBM Granite 4.2 30B~23
  10. Muse Glimmer 30B~19.5

MeasuredEstimated (~)

WeightsKV cacheRuntimeFreeMeasuredlinks to its sourceEstimatedshown with ~Unknownnever zero
  1. 1

    Qwen3.8-27B

    Qwen/Qwen3.8-27B

    2026-08-1427B dense

    AA index33.7rank #13
    Arena1,441
    Best file & memory
    MLX 4-bit15.0 GiB fileFits · conditional
    16.5 of 27.0 GiB+8K ctx · max ≈169K
    Prompt~751 t/sEstimated
    Generate~23.6 t/sEstimated
    First token · 4K prompt~5.5 sEstimated

    Memory budget

    Weights file14.95 GiBmlx-community/Qwen3.8-27B-4bit · 3 files HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted16.45 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈169K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 27.5 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 15.0 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 33.7 Qwen3.8 27B (Xhigh) · Arena 1,441 · Model page

  2. 2

    G9v3-39A5B (preview)

    ai9stars/G9v3-39A5B

    2026-08 (day unknown)39B · 5B active

    AA index21.8 AA estimaterank #29
    Arena—
    Best file & memory
    MLX 4-bit21.2 GiB fileFits
    22.5 of 27.0 GiB8K ctx · max ≈115K
    Prompt~1,470 t/sEstimated
    Generate~53.7 t/sEstimated
    First token · 4K prompt~2.8 sEstimated

    Memory budget

    Weights file21.24 GiBrapid-mlx/G9v3-39A5B-MLX-4bit · 5 files HF files
    KV cache · 8K0.30 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted22.53 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈115K tokens (native 128K).

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 2.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 21.8 AA estimate G9v3-39A5B · Arena unknown · Model page

  3. 3

    K2-Horizon-7B

    IFM/K2-Horizon-7B

    2026-09-03size unknown

    AA index20.6rank #33
    Arena—
    Best file & memory
    MLX 8-bit8.9 GiB fileFits
    11.0 of 27.0 GiB8K ctx · max ≈118K
    Prompt—Unknown
    Generate~39.6 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.91 GiBmlx-community/K2-Horizon-7B-8bit · 2 files HF files
    KV cache · 8K1.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted11.03 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈118K tokens (native 512K).

    Other MLX files

    • MLX 4-bit 6.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 8.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 20.6 K2 Horizon 7B · Arena unknown · Model page

  4. 4

    Qwen3.6-35B-A3B

    Qwen/Qwen3.6-35B-A3B

    2026-04-1635B · 3B active

    AA index18.2rank #36
    Arena—
    Best file & memory
    MLX 4-bit19.0 GiB fileFits · conditional
    20.2 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,450 t/sEstimated
    Generate~89.9 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file19.00 GiBmlx-community/Qwen3.6-35B-A3B-4bit · 4 files HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted20.16 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 35.1 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.6 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 18.2 Qwen3.6 35B A3B (Reasoning) · Arena unknown · Model page

  5. 5

    Muse Glimmer 30B

    meta-models/Muse-Glimmer-30B

    2026-08-1030B dense

    AA index17.5rank #38
    Arena1,389
    Best file & memory
    MLX 4-bit18.1 GiB fileFits
    19.3 of 27.0 GiB8K ctx · max ≈128K
    Prompt~685 t/sEstimated
    Generate~19.5 t/sEstimated
    First token · 4K prompt~6.0 sEstimated

    Memory budget

    Weights file18.08 GiBmlx-community/Muse-Glimmer-30B-4bit · 4 files HF files
    KV cache · 8K0.18 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted19.26 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 8-bit 31.1 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 18.1 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 17.5 Muse Glimmer (High) · Arena 1,389 · Model page

  6. 6

    K2-Horizon-3.7B

    IFM/K2-Horizon-3.7B

    2026-09-03size unknown

    AA index15.6rank #41
    Arena—
    Best file & memory
    MLX 8-bit5.0 GiB fileFits
    7.1 of 27.0 GiB8K ctx · max ≈146K
    Prompt—Unknown
    Generate~70.4 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file5.01 GiBmlx-community/K2-Horizon-3.7B-8bit · 2 files HF files
    KV cache · 8K1.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted7.13 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈146K tokens (native 512K).

    Other MLX files

    • MLX 4-bit 3.9 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 5.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 15.6 K2 Horizon 3.7B · Arena unknown · Model page

  7. 7

    Qwen3.5-9B

    Qwen/Qwen3.5-9B

    2026-03-029B dense

    AA index13.3 AA estimaterank #45
    Arena—
    Best file & memory
    MLX 8-bit9.7 GiB fileFits · conditional
    11.0 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,252 t/sEstimated
    Generate~36.3 t/sEstimated
    First token · 4K prompt~1.8 sEstimated

    Memory budget

    Weights file9.71 GiBmlx-community/Qwen3.5-9B-8bit · 2 files HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.96 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 5.5 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 9.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 13.3 AA estimate Qwen3.5 9B (Non-reasoning) · Arena unknown · Model page

  8. 8

    Qwen3.5-4B

    Qwen/Qwen3.5-4B

    2026-03-024B dense

    AA index13.1 AA estimaterank #48
    Arena—
    Best file & memory
    MLX 8-bit4.8 GiB fileFits · conditional
    6.0 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~5,068 t/sEstimated
    Generate~73.7 t/sEstimated
    First token · 4K prompt~808 msEstimated

    Memory budget

    Weights file4.78 GiBmlx-community/Qwen3.5-4B-8bit HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted6.03 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 2.8 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 4.8 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 13.1 AA estimate Qwen3.5 4B (Reasoning) · Arena unknown · Model page

  9. 9

    NVIDIA Nemotron 3.5 Lightning 30B-A3B

    nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

    2026-08-1130B · 3B active

    AA index12.9rank #49
    Arena1,329
    Best file & memory
    MLX 4-bit16.6 GiB fileFits · conditional
    17.6 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,450 t/sEstimated
    Generate~88.4 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file16.55 GiBmlx-community/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-4bit · 4 files HF files
    KV cache · 8K0.05 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted17.60 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 31.3 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.9 Nemotron 3.5 Lightning · Arena 1,329 · Model page

  10. 10

    IBM Granite 4.2 30B

    ibm-granite/granite-4.2-30b

    2026-08-2530B dense

    AA index12.7rank #50
    Arena1,361
    Best file & memory
    MLX 4-bit15.3 GiB fileFits
    18.3 of 27.0 GiB8K ctx · max ≈41K
    Prompt~676 t/sEstimated
    Generate~23 t/sEstimated
    First token · 4K prompt~6.1 sEstimated

    Memory budget

    Weights file15.34 GiBlmstudio-community/granite-4.2-30b-MLX-4bit · 4 files HF files
    KV cache · 8K2.00 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted18.34 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈41K tokens (native 128K).

    Other MLX files

    • MLX 8-bit 29.0 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 15.3 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.7 Granite 4.2 30B · Arena 1,361 · Model page

  11. 11

    MiniCPM5-2B

    openbmb/MiniCPM5-2B

    2026-09-072.5B dense

    AA index12.5rank #51
    Arena—
    Best file & memory
    MLX 8-bit2.5 GiB fileFits
    3.8 of 27.0 GiB8K ctx · max ≈128K
    Prompt~8,055 t/sEstimated
    Generate~142 t/sEstimated
    First token · 4K prompt~509 msEstimated

    Memory budget

    Weights file2.49 GiBmlx-community/MiniCPM5-2B-8bit HF files
    KV cache · 8K0.33 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted3.82 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 1.3 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 2.5 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.5 MiniCPM5-2B · Arena unknown · Model page

  12. 12

    Nemotron Cascade 2 30B A3B

    nvidia/Nemotron-Cascade-2-30B-A3B

    2026-03-1930B · 3B active

    AA index11.7 AA estimaterank #53
    Arena—
    Best file & memory
    MLX 4-bit16.6 GiB fileFits · conditional
    17.6 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,450 t/sEstimated
    Generate~88.4 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file16.55 GiBmlx-community/Nemotron-Cascade-2-30B-A3B-4bit · 4 files HF files
    KV cache · 8K0.05 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted17.60 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 31.3 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.7 AA estimate Nemotron Cascade 2 30B A3B · Arena unknown · Model page

  13. 13

    Granite 4.2 8B

    ibm-granite/granite-4.2-8b

    2026-08-258B dense

    AA index11.1rank #56
    Arena1,320
    Best file & memory
    MLX 8-bit8.7 GiB fileFits
    10.9 of 27.0 GiB8K ctx · max ≈108K
    Prompt~2,534 t/sEstimated
    Generate~40.5 t/sEstimated
    First token · 4K prompt~1.6 sEstimated

    Memory budget

    Weights file8.70 GiBlmstudio-community/granite-4.2-8b-MLX-8bit · 2 files HF files
    KV cache · 8K1.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted10.95 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈108K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 4.6 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 8.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.1 Granite 4.2 8B · Arena 1,320 · Model page

  14. 14

    G9v3-3B

    AI9Stars/G9v3-3B

    2026-07 (day unknown)3B dense

    AA index10.8 AA estimaterank #58
    Arena—
    Best file & memory
    MLX 4-bit1.6 GiB fileFits
    3.0 of 27.0 GiB8K ctx · max ≈128K
    Prompt~6,757 t/sEstimated
    Generate~225 t/sEstimated
    First token · 4K prompt~606 msEstimated

    Memory budget

    Weights file1.57 GiBcof139/G9v3-3B-mlx-4Bit HF files
    KV cache · 8K0.41 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted2.97 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 1.6 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 10.8 AA estimate G9v3-3B · Arena unknown · Model page

  15. 15

    North Mini Code

    CohereLabs/North-Mini-Code-1.0

    2026-06-0930B · 3B active

    AA index9.9rank #61
    Arena—
    Best file & memory
    MLX 4-bit17.2 GiB fileFits
    18.7 of 27.0 GiB8K ctx · max ≈250K
    Prompt~2,450 t/sEstimated
    Generate~85 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file17.23 GiBmlx-community/North-Mini-Code-1.0-4bit · 4 files HF files
    KV cache · 8K0.48 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted18.71 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈250K tokens (native 250K).

    Other MLX files

    • MLX 8-bit 31.0 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.9 North Mini Code · Arena unknown · Model page

  16. 16

    Granite 4.2 3B

    ibm-granite/granite-4.2-3b

    2026-08-253B dense

    AA index9.1rank #64
    Arena1,293
    Best file & memory
    MLX 8-bit3.6 GiB fileFits
    5.2 of 27.0 GiB8K ctx · max ≈128K
    Prompt~6,757 t/sEstimated
    Generate~97.4 t/sEstimated
    First token · 4K prompt~606 msEstimated

    Memory budget

    Weights file3.62 GiBlmstudio-community/granite-4.2-3b-MLX-8bit HF files
    KV cache · 8K0.63 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted5.25 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 1.9 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 3.6 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.1 Granite 4.2 3B · Arena 1,293 · Model page

  17. 17

    MiniCPM5-1B

    openbmb/MiniCPM5-1B

    2026-05-191.1B dense

    AA index8.8 AA estimaterank #67
    Arena—
    Best file & memory
    MLX 8-bit1.1 GiB fileFits
    2.3 of 27.0 GiB8K ctx · max ≈128K
    Prompt~18,759 t/sEstimated
    Generate~330 t/sEstimated
    First token · 4K prompt~218 msEstimated

    Memory budget

    Weights file1.07 GiBmlx-community/MiniCPM5-1B-8bit HF files
    KV cache · 8K0.19 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted2.26 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 0.6 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 1.1 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.8 AA estimate MiniCPM5-1B (Reasoning) · Arena unknown · Model page

  18. 18

    Nanbeige4.1-3B

    Nanbeige/Nanbeige4.1-3B

    2026-02 (day unknown)3B dense

    AA index8.4 AA estimaterank #69
    Arena—
    Best file & memory
    MLX 8-bit3.9 GiB fileFits
    5.4 of 27.0 GiB8K ctx · max ≈256K
    Prompt~6,757 t/sEstimated
    Generate~90.6 t/sEstimated
    First token · 4K prompt~606 msEstimated

    Memory budget

    Weights file3.89 GiBmlx-community/Nanbeige4.1-3B-8bit HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted5.39 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 2.1 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 3.9 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.4 AA estimate Nanbeige4.1-3B · Arena unknown · Model page

  19. 19

    LFM2.5-2.6B

    LiquidAI/LFM2.5-2.6B

    2026-08-042.7B dense

    AA index8.4 AA estimaterank #70
    Arena—
    Best file & memory
    MLX 8-bit2.7 GiB fileFits · conditional
    3.8 of 27.0 GiB+8K ctx · max ≈128K
    Prompt~7,536 t/sEstimated
    Generate~132 t/sEstimated
    First token · 4K prompt~544 msEstimated

    Memory budget

    Weights file2.67 GiBLiquidAI/LFM2.5-2.6B-MLX-8bit HF files
    KV cache · 8K0.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted3.79 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 1.5 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 2.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.4 AA estimate LFM2.5-2.6B · Arena unknown · Model page

  20. 20

    Falcon-H1R-7B

    tiiuae/Falcon-H1R-7B

    2026-01-057B dense

    AA index7.8 AA estimaterank #71
    Arena—
    Best file & memory
    MLX 8-bit7.5 GiB fileFits · conditional
    8.9 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,896 t/sEstimated
    Generate~47 t/sEstimated
    First token · 4K prompt~1.4 sEstimated

    Memory budget

    Weights file7.51 GiBmlx-community/Falcon-H1R-7B-8bit · 2 files HF files
    KV cache · 8K0.34 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted8.85 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 4.0 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 7.5 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.8 AA estimate Falcon-H1R-7B · Arena unknown · Model page

  21. 21

    LFM2.5-8B-A1B

    LiquidAI/LFM2.5-8B-A1B

    2026-05-288.3B · 1.5B active

    AA index7.2 AA estimaterank #74
    Arena—
    Best file & memory
    MLX 8-bit8.4 GiB fileFits · conditional
    9.5 of 27.0 GiB+8K ctx · max ≈125K
    Prompt~4,900 t/sEstimated
    Generate~96.6 t/sEstimated
    First token · 4K prompt~836 msEstimated

    Memory budget

    Weights file8.38 GiBLiquidAI/LFM2.5-8B-A1B-MLX-8bit · 2 files HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted9.48 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈125K tokens (native 125K).

    Other MLX files

    • MLX 4-bit 4.5 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.5 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.2 AA estimate LFM2.5-8B-A1B · Arena unknown · Model page

  22. 22

    NVIDIA Nemotron 3 Nano 4B

    nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16

    2026-03-164B dense

    AA index4.8rank #75
    Arena—
    Best file & memory
    MLX 8-bit3.9 GiB fileFits · conditional
    5.1 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~5,106 t/sEstimated
    Generate~89.7 t/sEstimated
    First token · 4K prompt~802 msEstimated

    Memory budget

    Weights file3.93 GiBmlx-community/NVIDIA-Nemotron-3-Nano-4B-8bit HF files
    KV cache · 8K0.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted5.06 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 2.1 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 3.9 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 4.8 NVIDIA Nemotron 3 Nano 4B · Arena unknown · Model page

  23. 23

    LFM2.5-24B-A2B

    LiquidAI/LFM2.5-24B-A2B

    2026-10-1324B · 2B active

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit23.7 GiB fileFits · conditional
    24.9 of 27.0 GiB+8K ctx · max ≈90K
    Prompt~3,675 t/sEstimated
    Generate~74 t/sEstimated
    First token · 4K prompt~1.1 sEstimated

    Memory budget

    Weights file23.73 GiBLiquidAI/LFM2.5-24B-A2B-MLX-8bit · 5 files HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted24.89 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈90K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 12.6 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 2.0 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  24. 24

    MiniCPM-V 4.7 35B-A3B

    openbmb/MiniCPM-V-4.7-35B-A3B

    2026-10-1235B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    MLX 4-bit21.9 GiB fileFits · conditional
    23.1 of 27.0 GiB+8K ctx · max ≈184K
    Prompt~2,450 t/sEstimated
    Generate~77.9 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file21.91 GiBmlx-community/MiniCPM-V-4.7-35B-A3B-4bit · 5 files HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted23.07 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈184K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 37.1 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.9 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  25. 25

    MiMo-V2.6-Distill-Qwen-9B

    XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B

    2026-09-229B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit9.7 GiB fileFits · conditional
    11.0 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,252 t/sEstimated
    Generate~36.3 t/sEstimated
    First token · 4K prompt~1.8 sEstimated

    Memory budget

    Weights file9.71 GiBnativ-community/MiMo-V2.6-Distill-Qwen-9B-MLX-8bit · 2 files HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.96 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 5.5 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 9.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  26. 26

    K2-Horizon-0.9B

    IFM/K2-Horizon-0.9B

    2026-09-03size unknown

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit1.1 GiB fileFits
    2.5 of 27.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~330 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file1.07 GiBmlx-community/K2-Horizon-0.9B-8bit HF files
    KV cache · 8K0.44 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted2.50 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other MLX files

    • MLX 4-bit 0.8 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 1.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  27. 27

    Ornith-1.5-9B

    ornith-ai/Ornith-1.5-9B

    2026-08 (day unknown)9B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit8.9 GiB fileFits · conditional
    10.1 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~2,252 t/sEstimated
    Generate~39.8 t/sEstimated
    First token · 4K prompt~1.8 sEstimated

    Memory budget

    Weights file8.86 GiBornith-ai/Ornith-1.5-9B-MLX-8bit · 2 files HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.11 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 4.7 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 8.9 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  28. 28

    Qwen3.6-27B

    Qwen/Qwen3.6-27B

    2026-04-2227B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 4-bit15.0 GiB fileFits · conditional
    16.5 of 27.0 GiB+8K ctx · max ≈169K
    Prompt750 t/sMeasured
    Generate24.8 t/sMeasured
    First token · 4K prompt~5.5 sEstimated

    Memory budget

    Weights file14.95 GiBmlx-community/Qwen3.6-27B-4bit · 3 files HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted16.45 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈169K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 27.5 GiB · too big · files

    Where the speeds come from

    • Prompt measured 750 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-09-17 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • Generate measured 24.8 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-09-17 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • First token 4K-token prompt ÷ measured prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  29. 29

    Qwen3.5-0.8B

    Qwen/Qwen3.5-0.8B

    2026-03-020.8B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit0.9 GiB fileFits · conditional
    2.0 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~25,340 t/sEstimated
    Generate~378 t/sEstimated
    First token · 4K prompt~162 msEstimated

    Memory budget

    Weights file0.93 GiBmlx-community/Qwen3.5-0.8B-8bit HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted2.03 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 0.6 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 0.9 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  30. 30

    Qwen3.5-2B

    Qwen/Qwen3.5-2B

    2026-03-022B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 8-bit2.5 GiB fileFits · conditional
    3.6 of 27.0 GiB+8K ctx · max ≈256K
    Prompt~10,136 t/sEstimated
    Generate~142 t/sEstimated
    First token · 4K prompt~404 msEstimated

    Memory budget

    Weights file2.48 GiBmlx-community/Qwen3.5-2B-8bit HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted3.57 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 4-bit 1.6 GiB · fits · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 2.5 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  31. 31

    Qwen3.5-27B

    Qwen/Qwen3.5-27B

    2026-02-2427B dense

    AA index—unranked
    Arena—
    Best file & memory
    MLX 4-bit15.0 GiB fileFits · conditional
    16.5 of 27.0 GiB+8K ctx · max ≈169K
    Prompt~751 t/sEstimated
    Generate~23.6 t/sEstimated
    First token · 4K prompt~5.5 sEstimated

    Memory budget

    Weights file14.95 GiBmlx-community/Qwen3.5-27B-4bit · 3 files HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted16.45 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈169K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 27.5 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 15.0 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  32. 32

    Qwen3.5-35B-A3B

    Qwen/Qwen3.5-35B-A3B

    2026-02-2435B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    MLX 4-bit19.0 GiB fileFits · conditional
    20.1 of 27.0 GiB+8K ctx · max ≈256K
    Prompt3,548 t/sMeasured
    Generate118 t/sMeasured
    First token · 4K prompt~1.2 sEstimated

    Memory budget

    Weights file18.99 GiBmlx-community/Qwen3.5-35B-A3B-4bit · 4 files HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted20.15 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other MLX files

    • MLX 8-bit 35.1 GiB · too big · files

    Where the speeds come from

    • Prompt measured 3,548 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-08-03 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • Generate measured 118 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-08-03 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • First token 4K-token prompt ÷ measured prefill speed. Excludes model load and queueing.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

May fit: KV-cache size unknown 10

Weights and runtime fit, but the cache for this attention type is not established. Ranked by AA index.

  1. K2-Horizon-MoVA-36B-A4B

    IFM/K2-Horizon-MoVA-36B-A4B

    2026-09-0336B · 4B active

    AA index25.3rank #22
    Arena—
    Best file & memory
    MLX 4-bit24.6 GiB fileCache unknown
    25.6 of 27.0 GiB+8K ctx
    Prompt~1,838 t/sEstimated
    Generate~53.6 t/sEstimated
    First token · 4K prompt~2.2 sEstimated

    Memory budget

    Weights file24.59 GiBmlx-community/K2-Horizon-MoVA-36B-A4B-4bit · 5 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted25.59 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 512K).

    Other MLX files

    • MLX 8-bit 37.1 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 2.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 25.3 K2 Horizon MoVA 36B A4B · Arena unknown · Model page

  2. Gemma 4 26B A4B (it)

    google/gemma-4-26B-A4B-it

    2026-04-0225B · 3.8B active

    AA index16.7 AA estimaterank #39
    Arena1,434
    Best file & memory
    MLX 4-bit14.3 GiB fileCache unknown
    15.3 of 27.0 GiB+8K ctx
    Prompt~1,934 t/sEstimated
    Generate~67.9 t/sEstimated
    First token · 4K prompt~2.1 sEstimated

    Memory budget

    Weights file14.29 GiBmlx-community/gemma-4-26B-A4B-it-4bit · 3 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted15.29 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other MLX files

    • MLX 8-bit 26.0 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 2.2 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 16.7 AA estimate Gemma 4 26B A4B (Reasoning) · Arena 1,434 · Model page

  3. Gemma 4 31B (it)

    google/gemma-4-31B-it

    2026-04-0231B dense

    AA index14.7rank #42
    Arena1,443
    Best file & memory
    MLX 4-bit17.1 GiB fileCache unknown
    18.1 of 27.0 GiB+8K ctx
    Prompt590 t/sMeasured
    Generate21.3 t/sMeasured
    First token · 4K prompt~6.9 sEstimated

    Memory budget

    Weights file17.15 GiBmlx-community/gemma-4-31B-it-4bit · 4 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted18.15 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other MLX files

    • MLX 8-bit 31.4 GiB · too big · files

    Where the speeds come from

    • Prompt measured 590 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-10-13 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • Generate measured 21.3 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-10-13 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • First token 4K-token prompt ÷ measured prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 14.7 Gemma 4 31B (Reasoning) · Arena 1,443 · Model page

  4. Gemma 4 12B (it)

    google/gemma-4-12B-it

    2026-06-0312B dense

    AA index14.2 AA estimaterank #44
    Arena—
    Best file & memory
    MLX 8-bit11.8 GiB fileCache unknown
    12.8 of 27.0 GiB+8K ctx
    Prompt~1,696 t/sEstimated
    Generate~29.8 t/sEstimated
    First token · 4K prompt~2.4 sEstimated

    Memory budget

    Weights file11.84 GiBmlx-community/gemma-4-12B-it-8bit · 3 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted12.84 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other MLX files

    • MLX 4-bit 6.3 GiB · cache unknown · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 11.8 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 14.2 AA estimate Gemma 4 12B (Reasoning) · Arena unknown · Model page

  5. Ling-3.0-tiny

    inclusionAI/Ling-3.0-tiny

    2026-08 (day unknown)7.9B · 1.3B active

    AA index11.1rank #57
    Arena—
    Best file & memory
    MLX 4-bit4.1 GiB fileCache unknown
    5.1 of 27.0 GiB+8K ctx
    Prompt~5,654 t/sEstimated
    Generate~215 t/sEstimated
    First token · 4K prompt~724 msEstimated

    Memory budget

    Weights file4.14 GiBrapid-mlx/Ling-3.0-tiny-MLX-4bit HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted5.14 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 0.7 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.1 Ling 3.0 Tiny · Arena unknown · Model page

  6. Nemotron 3 Nano Omni 30B A3B Reasoning

    nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

    2026-04-2830B · 3B active

    AA index10.3 AA estimaterank #60
    Arena—
    Best file & memory
    MLX 4-bit18.3 GiB fileCache unknown
    19.3 of 27.0 GiB+8K ctx
    Prompt~2,450 t/sEstimated
    Generate~80 t/sEstimated
    First token · 4K prompt~1.7 sEstimated

    Memory budget

    Weights file18.29 GiBmlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-4bit · 4 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted19.29 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other MLX files

    • MLX 8-bit 33.3 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 1.8 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 10.3 AA estimate Nemotron 3 Nano Omni 30B A3B Reasoning · Arena unknown · Model page

  7. DiffusionGemma 26B A4B

    google/diffusiongemma-26B-A4B-it

    2026-06-1025B · 3.8B active

    AA index9.5 AA estimaterank #62
    Arena—
    Best file & memory
    MLX 4-bit15.4 GiB fileCache unknown
    16.4 of 27.0 GiB+8K ctx
    Prompt~1,934 t/sEstimated
    Generate~63 t/sEstimated
    First token · 4K prompt~2.1 sEstimated

    Memory budget

    Weights file15.41 GiBmlx-community/diffusiongemma-26B-A4B-it-4bit · 4 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted16.41 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other MLX files

    • MLX 8-bit 26.1 GiB · too big · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 37 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.3416 (n=94) × memory bandwidth ÷ 2.3 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.5 AA estimate DiffusionGemma 26B A4B · Arena unknown · Model page

  8. Gemma 4 E4B (it)

    google/gemma-4-E4B-it

    2026-04-028B dense

    AA index8.9rank #66
    Arena—
    Best file & memory
    MLX 8-bit8.3 GiB fileCache unknown
    9.3 of 27.0 GiB+8K ctx
    Prompt~2,534 t/sEstimated
    Generate~42.6 t/sEstimated
    First token · 4K prompt~1.6 sEstimated

    Memory budget

    Weights file8.27 GiBmlx-community/gemma-4-E4B-it-8bit · 2 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted9.27 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other MLX files

    • MLX 4-bit 4.8 GiB · cache unknown · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 8.3 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.9 Gemma 4 E4B (Reasoning) · Arena unknown · Model page

  9. Gemma 4 E2B

    google/gemma-4-E2B-it

    2026-04-025.1B dense

    AA index7.8 AA estimaterank #72
    Arena—
    Best file & memory
    MLX 8-bit5.5 GiB fileCache unknown
    6.5 of 27.0 GiB+8K ctx
    Prompt~3,975 t/sEstimated
    Generate~64.5 t/sEstimated
    First token · 4K prompt~1.0 sEstimated

    Memory budget

    Weights file5.46 GiBmlx-community/gemma-4-E2B-it-8bit · 2 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted6.46 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other MLX files

    • MLX 4-bit 3.3 GiB · cache unknown · files

    Where the speeds come from

    • Prompt estimated from median prefill rate per GPU core of 16 measured M5 points (MLX) × this chip's GPU cores ÷ (2 × active params).
    • Generate estimated from MLX median efficiency 0.8231 (n=60) × memory bandwidth ÷ 5.5 GiB read per token.
    • First token 4K-token prompt ÷ estimated prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.8 AA estimate Gemma 4 E2B (Reasoning) · Arena unknown · Model page

  10. GLM-4.7-Flash

    zai-org/GLM-4.7-Flash

    2026-01 (day unknown)30B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    MLX 4-bit15.7 GiB fileCache unknown
    16.7 of 27.0 GiB+8K ctx
    Prompt1,696 t/sMeasured
    Generate71.6 t/sMeasured
    First token · 4K prompt~2.4 sEstimated

    Memory budget

    Weights file15.70 GiBmlx-community/GLM-4.7-Flash-4bit · 4 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted16.70 GiBof 27.0 GiB usable (75% of 36 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 198K).

    Other MLX files

    • MLX 8-bit 29.6 GiB · too big · files

    Where the speeds come from

    • Prompt measured 1,696 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-09-28 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • Generate measured 71.6 t/s: MLX · quant label MLX 4bit · oMLX benchmark, 4096-token prompt (PP) and generation (TG), no MTP/DFlash/SpecPrefill · 2026-09-28 · omlx.ai. Reported by the source; build and settings may differ from yours.
    • First token 4K-token prompt ÷ measured prefill speed. Excludes model load and queueing.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

29 models too big for M5 Max 32c GPU · 36 GB

Specs & sources

Memory36 GB unifiedsource
Bandwidth460 GB/ssource
FP16unknownApple publishes no comparable FP16 throughput or GPU-only TDP in reviewed chip/device technical specifications. Power adapter rating and whole-system maximum continuous power are not GPU TDP.
PowerunknownApple publishes no comparable FP16 throughput or GPU-only TDP in reviewed chip/device technical specifications. Power adapter rating and whole-system maximum continuous power are not GPU TDP.

Found in: Mac Studio (M5 Max or M5 Ultra)

Measured speeds

4 reported observations

On this device (same chip and GPU-core count). Reported by the linked sources; not reproduced by LocalFit.

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