---
title: "Mac Studio M2 Max: What AI Models Can It Run? | ModelPiper"
description: "Local AI on the M2 Max Mac Studio: 400 GB/s memory bandwidth and 32 to 96 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run."
canonical: "https://modelpiper.com/mac-studio/m2-max"
---

# Mac Studio M2 Max: What AI Models Can It Run? | ModelPiper

> Local AI on the M2 Max Mac Studio: 400 GB/s memory bandwidth and 32 to 96 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run.

[← All Mac Studio models](/mac-studio)

# Mac Studio M2 Max

The M2 Max Mac Studio runs local models at 400 GB/s of memory bandwidth with 32 to 96 GB of unified memory. On Apple Silicon that memory is shared with the GPU, so the whole pool is available for weights: at 96 GB you can hold roughly a 129B dense model at Q4. The Max is where the bus gets wide enough that model size, not bandwidth, becomes the thing you plan around.

Apple no longer sells this configuration new. It stays fully evaluated here because the used market is where most of its local AI value now sits.

## Specifications

ChipApple M2 Max

CPU cores12

GPU cores30 or 38

Unified memory32, 64, or 96 GB

Memory bandwidth400 GB/s

Neural Engine15.8 TOPS

Released2023

AvailabilityUsed market

Memory bandwidth is faster than 56% of the Apple Silicon chips shipped in a Mac, against a 819 GB/s peak.

Its memory ceiling is above 61% of them, against a 512 GB peak.

## Pick your configuration

Every option Apple sells with this chip. The model list below recomputes against the one you pick.

GPU cores

30-core 38-core

Unified memory

32 GB64 GB96 GB

## What each memory option runs

Unified memory is the ceiling and it is soldered, so this is the decision you cannot revisit.

[32 GB](#ram-32gb)[64 GB](#ram-64gb)[96 GB](#ram-96gb)

### 32 GB unified memory

28 GB usable for weights · 400 GB/s

3,388 of 3,641 models fit, and 3,127 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Phi 3.5 MoE instruct](/fit/microsoft-phi-3-5-moe-instruct) · 41.87B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~241 tok/s

### 64 GB unified memory

56 GB usable for weights · 400 GB/s

3,541 of 3,641 models fit, and 3,385 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Kimi K2.6 JANGTQ\_3L](/fit/deviad-kimi-k2-6-jangtq_3l) · 83.44B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~241 tok/s

### 96 GB unified memory

84 GB usable for weights · 400 GB/s

3,556 of 3,641 models fit, and 3,503 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Qwen3.5 122B A10B](/fit/qwen-qwen3-5-122b-a10b) · 125.09B

Best all-round pick

[Qwen3.6 35B A3B](/fit/qwen-qwen3-6-35b-a3b) · Q8\_0 · ~70 tok/s

## What a 32 GB M2 Max Mac Studio can run

Every model in the database against this exact configuration, at 400 GB/s. Ratings and speeds are the same numbers the model pages show.

All Categories

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Best Fit

Showing 3641 of 3641 models

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

1.5 GB5% of RAM~241 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 2B](/fit/qwen-qwen3-5-2b)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

3.0 GB9% of RAM~92 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 0.8B Base](/fit/qwen-qwen3-5-0-8b-base)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

1.5 GB5% of RAM~241 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 2B Base](/fit/qwen-qwen3-5-2b-base)

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

3.0 GB9% of RAM~92 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 4B](/fit/qwen-qwen3-5-4b)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

5.7 GB18% of RAM~45 tok/sEstimated4.66B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 4B Base](/fit/qwen-qwen3-5-4b-base)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

5.7 GB18% of RAM~45 tok/sEstimated4.66B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B](/fit/liquidai-lfm2-1-2b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 ColBERT 350M](/fit/liquidai-lfm2-colbert-350m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Thinking](/fit/liquidai-lfm2-5-1-2b-thinking)

Reasoning · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 8B A1B](/fit/liquidai-lfm2-8b-a1b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

9.8 GB30% of RAMBenchmark needed8.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Base](/fit/liquidai-lfm2-5-1-2b-base)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M](/fit/liquidai-lfm2-350m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B](/fit/liquidai-lfm2-2-6b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB11% of RAM~82 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 700M](/fit/liquidai-lfm2-700m)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.3 GB4% of RAM~283 tok/sEstimated0.74B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B Extract](/fit/liquidai-lfm2-1-2b-extract)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M Extract](/fit/liquidai-lfm2-350m-extract)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B Transcript](/fit/liquidai-lfm2-2-6b-transcript)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB11% of RAM~82 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M PII Extract JP](/fit/liquidai-lfm2-350m-pii-extract-jp)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B Tool](/fit/liquidai-lfm2-1-2b-tool)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M ENJP MT](/fit/liquidai-lfm2-350m-enjp-mt)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 1.2B RAG](/fit/liquidai-lfm2-1-2b-rag)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 350M Math](/fit/liquidai-lfm2-350m-math)

Reasoning · Liquid AI · 2025-11-28

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h tiny](/fit/ibm-granite-granite-4-0-h-tiny)

General · ibm-granite · 2025-09-16

Q8\_0Excellent

8.2 GB26% of RAMBenchmark needed6.94B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B Instruct](/fit/liquidai-lfm2-5-1-2b-instruct)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 2.6B Exp](/fit/liquidai-lfm2-2-6b-exp)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

3.4 GB11% of RAM~82 tok/sEstimated2.57B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h micro](/fit/ibm-granite-granite-4-0-h-micro)

General · ibm-granite · 2025-09-16

Q8\_0Excellent

4.1 GB13% of RAM~66 tok/sEstimated3.19B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 9B Claude 4.6 Opus Reasoning Distilled v2](/fit/jackrong-qwen3-5-9b-claude-4-6-opus-reasoning-distilled-v2)

Reasoning · jackrong · 2026-03-16

Q8\_0Excellent

11.3 GB35% of RAM~22 tok/sEstimated9.65B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 1.2B JP](/fit/liquidai-lfm2-5-1-2b-jp)

Chat · Liquid AI · 2025-11-28

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VAETKI 7B A1B](/fit/nc-ai-consortium-vaetki-7b-a1b)

General · NCAI · 2025-12-29

Q8\_0Excellent

8.6 GB27% of RAMBenchmark needed7.25B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[SmolLM3 3B](/fit/huggingfacetb-smollm3-3b)

Reasoning · HuggingFace · 2025-07-08

Q8\_0Excellent

3.8 GB12% of RAM~70 tok/sEstimated3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 Audio 1.5B](/fit/liquidai-lfm2-5-audio-1-5b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 Audio 1.5B](/fit/liquidai-lfm2-audio-1-5b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VAETKI VL 7B A1B](/fit/nc-ai-consortium-vaetki-vl-7b-a1b)

Multimodal · NCAI · 2025-12-29

Q8\_0Excellent

9.0 GB28% of RAMBenchmark needed7.58B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 9B](/fit/qwen-qwen3-5-9b)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

11.3 GB35% of RAM~22 tok/sEstimated9.65B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 4 E2B it](/fit/google-gemma-4-e2b-it)

Multimodal · Google · 2025-07-30

Q8\_0Excellent

6.2 GB19% of RAM~41 tok/sEstimated5.1B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 3n E2B it](/fit/google-gemma-3n-e2b-it)

Multimodal · Google · 2025-06-25

Q8\_0Excellent

5.0 GB16% of RAM~52 tok/sEstimated4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 450M](/fit/liquidai-lfm2-vl-450m)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

1.0 GB3% of RAM~466 tok/sEstimated0.45B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 VL 1.6B](/fit/liquidai-lfm2-5-vl-1-6b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

2.3 GB7% of RAM~131 tok/sEstimated1.6B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 3B](/fit/liquidai-lfm2-vl-3b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

3.8 GB12% of RAM~70 tok/sEstimated3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2 VL 1.6B](/fit/liquidai-lfm2-vl-1-6b)

Multimodal · Liquid AI · 2025-11-28

Q8\_0Excellent

2.3 GB7% of RAM~133 tok/sEstimated1.58B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[EXAONE Deep 2.4B](/fit/lgai-exaone-exaone-deep-2-4b)

General · lgai-exaone · 2025-03-12

Q8\_0Excellent

3.2 GB10% of RAM~87 tok/sEstimated2.41B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 4 12b it](/fit/google-gemma-4-12b-it)

Multimodal · google · 2026-05

Q8\_0Excellent

13.8 GB43% of RAM~18 tok/sEstimated11.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 9B Base](/fit/qwen-qwen3-5-9b-base)

Multimodal · Alibaba · 2026-02-26

Q8\_0Excellent

11.3 GB35% of RAM~22 tok/sEstimated9.65B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[EXAONE 4.0 1.2B](/fit/lgai-exaone-exaone-4-0-1-2b)

General · LG AI · 2025-07-15

Q8\_0Excellent

1.8 GB6% of RAM~175 tok/sEstimated1.2B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Jolia](/fit/raidium-jolia)

General · raidium · 2026-06-15

Q8\_0Excellent

0.5 GB2% of RAM~10,476 tok/sEstimated0.02B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[embeddinggemma GTAIDE 300m 2605](/fit/taide-embeddinggemma-gtaide-300m-2605)

Embedding · taide · 2026-06-12

Q8\_0Excellent

0.8 GB3% of RAM~698 tok/sEstimated0.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 0.6B](/fit/qwen-qwen3-0-6b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

1.3 GB4% of RAM~279 tok/sEstimated0.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 4B](/fit/qwen-qwen3-4b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

5.0 GB16% of RAM~52 tok/sEstimated4.02B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 4 E4B it](/fit/google-gemma-4-e4b-it)

Multimodal · Google · 2025-07-30

Q8\_0Excellent

9.4 GB29% of RAM~26 tok/sEstimated8B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 1.7B](/fit/qwen-qwen3-1-7b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

2.8 GB9% of RAM~103 tok/sEstimated2.03B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[GLM OCR](/fit/zai-org-glm-ocr)

Multimodal · zai-org

Q8\_0Excellent

2.0 GB6% of RAM~158 tok/sEstimated1.33B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B Instruct](/fit/qwen-qwen3-vl-2b-instruct)

Multimodal · Alibaba

Q8\_0Excellent

2.9 GB9% of RAM~98 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Phi 3.5 vision instruct](/fit/microsoft-phi-3-5-vision-instruct)

Multimodal · Microsoft

Q8\_0Excellent

5.1 GB16% of RAM~50 tok/sEstimated4.15B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen2.5 1.5B](/fit/qwen-qwen2-5-1-5b)

General · Alibaba

Q8\_0Excellent

2.2 GB7% of RAM~136 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen2 0.5B](/fit/qwen-qwen2-0-5b)

General · Alibaba

Q8\_0Excellent

1.0 GB3% of RAM~428 tok/sEstimated0.49B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6](/fit/openbmb-minicpm-v-4-6)

Multimodal · openbmb

Q8\_0Excellent

2.0 GB6% of RAM~161 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[DeepSeek R1 Distill Qwen 1.5B](/fit/deepseek-ai-deepseek-r1-distill-qwen-1-5b)

Reasoning · DeepSeek

Q8\_0Excellent

2.5 GB8% of RAM~118 tok/sEstimated1.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.mocr](/fit/rednote-hilab-dots-mocr)

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB12% of RAM~69 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[surya ocr 2](/fit/datalab-to-surya-ocr-2)

Multimodal · datalab-to

Q8\_0Excellent

1.3 GB4% of RAM~304 tok/sEstimated0.69B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.1 3b](/fit/ibm-granite-granite-4-1-3b)

General · ibm-granite

Q8\_0Excellent

4.3 GB13% of RAM~62 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM5 1B](/fit/openbmb-minicpm5-1b)

General · openbmb

Q8\_0Excellent

1.7 GB5% of RAM~194 tok/sEstimated1.08B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.ocr](/fit/rednote-hilab-dots-ocr)

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB12% of RAM~69 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Ilama 3.2 1B](/fit/hmellor-ilama-3-2-1b)

General · hmellor

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[distil lfm25 shellper](/fit/distil-labs-distil-lfm25-shellper)

General · distil-labs

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nanonets OCR2 3B](/fit/nanonets-nanonets-ocr2-3b)

Multimodal · nanonets

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 1.2B IT](/fit/farbodtavakkoli-otel-llm-1-2b-it)

General · farbodtavakkoli

Q8\_0Excellent

1.8 GB6% of RAM~173 tok/sEstimated1.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 8B A1B](/fit/liquidai-lfm2-5-8b-a1b)

General · Liquid AI

Q8\_0Excellent

9.9 GB31% of RAMBenchmark needed8.47B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nanonets OCR s](/fit/nanonets-nanonets-ocr-s)

General · nanonets

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite vision 4.1 4b](/fit/ibm-granite-granite-vision-4-1-4b)

Multimodal · ibm-granite

Q8\_0Excellent

5.0 GB16% of RAM~52 tok/sEstimated4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 tiny preview](/fit/ibm-granite-granite-4-0-tiny-preview)

General · ibm-granite

Q8\_0Excellent

7.9 GB25% of RAMBenchmark needed6.67B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[reformer crime and punishment](/fit/google-reformer-crime-and-punishment)

General · Google

Q8\_0Excellent

0.5 GB2% of RAM~20,952 tok/sEstimated0.01B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VideoLLaMA3 2B Image HF](/fit/lkhl-videollama3-2b-image-hf)

Multimodal · lkhl

Q8\_0Excellent

2.7 GB8% of RAM~107 tok/sEstimated1.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[typhoon ocr 3b](/fit/typhoon-ai-typhoon-ocr-3b)

Multimodal · typhoon-ai

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ReaderLM v2](/fit/jinaai-readerlm-v2)

General · jinaai

Q8\_0Excellent

2.2 GB7% of RAM~136 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B Thinking](/fit/qwen-qwen3-vl-2b-thinking)

General · Alibaba

Q8\_0Excellent

2.9 GB9% of RAM~98 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[dots.ocr 1.5](/fit/kristaller486-dots-ocr-1-5)

General · kristaller486

Q8\_0Excellent

3.9 GB12% of RAM~69 tok/sEstimated3.04B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[typhoon ocr1.5 2b](/fit/typhoon-ai-typhoon-ocr1-5-2b)

Reasoning · typhoon-ai

Q8\_0Excellent

2.9 GB9% of RAM~98 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Solar Open 100B](/fit/upstage-solar-open-100b)

General · Upstage

Q8\_0Excellent

9.5 GB30% of RAMBenchmark needed8.05B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[HTML Pruner Phi 3.8B](/fit/zstanjj-html-pruner-phi-3-8b)

General · zstanjj

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.82B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.1 3b base](/fit/ibm-granite-granite-4-1-3b-base)

General · ibm-granite

Q8\_0Excellent

4.3 GB13% of RAM~62 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nemotron Labs Diffusion 3B](/fit/nvidia-nemotron-labs-diffusion-3b)

General · nvidia

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.83B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[VibeThinker 3B](/fit/weiboai-vibethinker-3b)

General · weiboai

Q8\_0Excellent

3.9 GB12% of RAM~68 tok/sEstimated3.09B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[libra v1.0 3b](/fit/x-izhang-libra-v1-0-3b)

General · x-izhang

Q8\_0Excellent

4.1 GB13% of RAM~64 tok/sEstimated3.25B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gpt oss safeguard 120b](/fit/openai-gpt-oss-safeguard-120b)

General · openai

Q8\_0Excellent

3.1 GB10% of RAMBenchmark needed2.37B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PaddleOCR VL 1.5](/fit/paddlepaddle-paddleocr-vl-1-5)

General · paddlepaddle

Q8\_0Excellent

1.6 GB5% of RAM~218 tok/sEstimated0.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gemma 3 4B T1 it](/fit/twinkle-ai-gemma-3-4b-t1-it)

General · twinkle-ai

Q8\_0Excellent

4.8 GB15% of RAM~54 tok/sEstimated3.88B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 350M Base](/fit/liquidai-lfm2-5-350m-base)

General · Liquid AI

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[plamo 2 1b](/fit/pfnet-plamo-2-1b)

General · pfnet

Q8\_0Excellent

1.9 GB6% of RAM~162 tok/sEstimated1.29B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM5 1B SFT](/fit/openbmb-minicpm5-1b-sft)

General · openbmb

Q8\_0Excellent

1.7 GB5% of RAM~194 tok/sEstimated1.08B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 micro base](/fit/ibm-granite-granite-4-0-micro-base)

General · ibm-granite

Q8\_0Excellent

4.3 GB13% of RAM~62 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ERNIE 4.5 0.3B PT](/fit/baidu-ernie-4-5-0-3b-pt)

General · baidu

Q8\_0Excellent

0.9 GB3% of RAM~582 tok/sEstimated0.36B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Mellum2 12B A2.5B Thinking](/fit/jetbrains-mellum2-12b-a2-5b-thinking)

General · jetbrains

Q8\_0Excellent

14.1 GB44% of RAMBenchmark needed12.15B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PARD Llama 3.2 1B](/fit/amd-pard-llama-3-2-1b)

General · amd

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[academic ds 9B](/fit/bytedance-seed-academic-ds-9b)

General · bytedance-seed

Q8\_0Excellent

11.0 GB34% of RAMBenchmark needed9.37B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Trinity Nano Preview](/fit/arcee-ai-trinity-nano-preview)

General · arcee-ai

Q8\_0Excellent

7.3 GB23% of RAMBenchmark needed6.12B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Orpo Llama 3.2 1B 15k](/fit/adamlucek-orpo-llama-3-2-1b-15k)

General · adamlucek

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama 3.2 1b code instruct](/fit/shahriarferdoush-llama-3-2-1b-code-instruct)

Coding · shahriarferdoush

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Llama 3.2 1B Aegis SFT DPO](/fit/ahczhg-llama-3-2-1b-aegis-sft-dpo)

General · ahczhg

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[CyberXP\_Agent\_Llama\_3.2\_1B](/fit/abaryan-cyberxp_agent_llama_3-2_1b)

General · abaryan

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Tashkeel 700M](/fit/etherll-tashkeel-700m)

General · etherll

Q8\_0Excellent

1.3 GB4% of RAM~283 tok/sEstimated0.74B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[churro 3B](/fit/stanford-oval-churro-3b)

General · stanford-oval

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Mellum2 12B A2.5B Base](/fit/jetbrains-mellum2-12b-a2-5b-base)

General · jetbrains

Q8\_0Excellent

14.1 GB44% of RAMBenchmark needed12.15B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Flow Judge v0.1](/fit/flowaicom-flow-judge-v0-1)

General · flowaicom

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.82B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama 3.2 Korean Bllossom 3B](/fit/bllossom-llama-3-2-korean-bllossom-3b)

General · bllossom

Q8\_0Excellent

4.1 GB13% of RAM~65 tok/sEstimated3.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OTel LLM 20B IT](/fit/farbodtavakkoli-otel-llm-20b-it)

General · farbodtavakkoli

Q8\_0Excellent

2.5 GB8% of RAMBenchmark needed1.77B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Kimi K2.5 DFlash](/fit/z-lab-kimi-k2-5-dflash)

General · z-lab

Q8\_0Excellent

4.4 GB14% of RAM~60 tok/sEstimated3.48B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 4B Kimi2.5 Reasoning Distilled](/fit/khazarai-qwen3-4b-kimi2-5-reasoning-distilled-gguf)

Reasoning · khazarai

Q8\_0Excellent

4.0 GB12% of RAM~67 tok/sEstimated3.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[FastVLM 0.5B](/fit/kamilamila-fastvlm-0-5b)

General · kamilamila

Q8\_0Excellent

1.2 GB4% of RAM~338 tok/sEstimated0.62B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[NetrAI L3](/fit/radheneev-netrai-l3)

General · radheneev

Q8\_0Excellent

4.1 GB13% of RAM~65 tok/sEstimated3.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[transcription cleanup llama3.2 1b](/fit/getonit-transcription-cleanup-llama3-2-1b)

General · getonit

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[PaddleOCR VL](/fit/paddlepaddle-paddleocr-vl)

General · paddlepaddle

Q8\_0Excellent

1.6 GB5% of RAM~218 tok/sEstimated0.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[DeepScaleR 1.5B Preview](/fit/agentica-org-deepscaler-1-5b-preview)

General · agentica-org

Q8\_0Excellent

2.5 GB8% of RAM~118 tok/sEstimated1.78B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Hermes 3 Llama 3.2 3B](/fit/nousresearch-hermes-3-llama-3-2-3b)

General · NousResearch

Q8\_0Excellent

4.1 GB13% of RAM~65 tok/sEstimated3.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[NV Reason CXR 3B](/fit/nvidia-nv-reason-cxr-3b)

Reasoning · nvidia

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Schematron 3B](/fit/inference-net-schematron-3b)

General · inference-net

Q8\_0Excellent

4.1 GB13% of RAM~65 tok/sEstimated3.21B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[SEX\_ROLEPLAY 3.2 1B](/fit/novaciano-sex_roleplay-3-2-1b)

General · novaciano

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3 VL 2B RRG SFT](/fit/dmusingu-qwen3-vl-2b-rrg-sft)

General · dmusingu

Q8\_0Excellent

2.9 GB9% of RAM~98 tok/sEstimated2.13B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nemotron Content Safety Reasoning 4B](/fit/nvidia-nemotron-content-safety-reasoning-4b)

Reasoning · nvidia

Q8\_0Excellent

5.3 GB17% of RAM~49 tok/sEstimated4.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[JiRackTernary\_1b](/fit/kgrabko-jirackternary_1b)

General · kgrabko

Q8\_0Excellent

2.2 GB7% of RAM~140 tok/sEstimated1.5B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[LFM2.5 350M home assistant sft](/fit/ordenwills-lfm2-5-350m-home-assistant-sft)

General · ordenwills

Q8\_0Excellent

0.9 GB3% of RAM~599 tok/sEstimated0.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Recurrent Llama 3.2 train recurrence 32](/fit/smcleish-recurrent-llama-3-2-train-recurrence-32)

General · smcleish

Q8\_0Excellent

2.1 GB6% of RAM~151 tok/sEstimated1.39B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama3.2\_1b\_2025\_uncensored\_v2](/fit/carsenk-llama3-2_1b_2025_uncensored_v2)

General · carsenk

Q8\_0Excellent

1.9 GB6% of RAM~169 tok/sEstimated1.24B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite vision 3.2 2b](/fit/ibm-granite-granite-vision-3-2-2b)

General · ibm-granite

Q8\_0Excellent

3.8 GB12% of RAM~70 tok/sEstimated2.98B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3b code instruct 128k](/fit/ibm-granite-granite-3b-code-instruct-128k)

Coding · ibm-granite

Q8\_0Excellent

4.4 GB14% of RAM~60 tok/sEstimated3.48B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Embodied R1 3B v1](/fit/iffyuan-embodied-r1-3b-v1)

Reasoning · iffyuan

Q8\_0Excellent

5.0 GB16% of RAM~51 tok/sEstimated4.07B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[OpenReasoning Nemotron 1.5B](/fit/nvidia-openreasoning-nemotron-1-5b)

Reasoning · nvidia

Q8\_0Excellent

2.2 GB7% of RAM~136 tok/sEstimated1.54B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Miss MARTHA hot POCKET edition 2B OMNI](/fit/zero-point-ai-miss-martha-hot-pocket-edition-2b-omni)

General · zero-point-ai

Q8\_0Excellent

3.0 GB9% of RAM~92 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[CheXOne](/fit/stanfordaimi-chexone)

General · stanfordaimi

Q8\_0Excellent

4.7 GB15% of RAM~56 tok/sEstimated3.75B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MediPhi](/fit/microsoft-mediphi)

General · Microsoft

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.82B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Nemotron 3 Super 120B A12B UNCENSORED JANG\_2L](/fit/dealignai-nemotron-3-super-120b-a12b-uncensored-jang_2l)

General · dealignai

Q8\_0Excellent

14.5 GB45% of RAMBenchmark needed12.59B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Huihui granite 4.1 3b abliterated](/fit/huihui-ai-huihui-granite-4-1-3b-abliterated)

General · huihui-ai

Q8\_0Excellent

4.3 GB13% of RAM~62 tok/sEstimated3.4B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3.1 1b a400m base](/fit/ibm-granite-granite-3-1-1b-a400m-base)

General · ibm-granite

Q8\_0Excellent

2.0 GB6% of RAMBenchmark needed1.33B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6 Thinking](/fit/openbmb-minicpm-v-4-6-thinking)

General · openbmb

Q8\_0Excellent

2.0 GB6% of RAM~161 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 4.0 h 1b](/fit/ibm-granite-granite-4-0-h-1b)

General · ibm-granite

Q8\_0Excellent

2.1 GB7% of RAM~144 tok/sEstimated1.46B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniMax M2.7 Small JANGTQ](/fit/osaurusai-minimax-m2-7-small-jangtq)

General · osaurusai

Q8\_0Excellent

11.3 GB35% of RAMBenchmark needed9.65B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[gpt oss 120b lora merged redux](/fit/pyoakum-gpt-oss-120b-lora-merged-redux)

General · pyoakum

Q8\_0Excellent

6.5 GB20% of RAMBenchmark needed5.35B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[granite 3.1 3b a800m base](/fit/ibm-granite-granite-3-1-3b-a800m-base)

General · ibm-granite

Q8\_0Excellent

4.2 GB13% of RAMBenchmark needed3.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Phi 3.5 mini ITA](/fit/anakin87-phi-3-5-mini-ita)

General · anakin87

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.82B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Artemide 3.5](/fit/redix-artemide-3-5)

General · redix

Q8\_0Excellent

4.8 GB15% of RAM~55 tok/sEstimated3.82B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[MiniCPM V 4.6 Abliterated AND Disinhibited](/fit/treadon-minicpm-v-4-6-abliterated-and-disinhibited)

General · treadon

Q8\_0Excellent

2.0 GB6% of RAM~161 tok/sEstimated1.3B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Youtu LLM 2B](/fit/tencent-youtu-llm-2b)

General · tencent

Q8\_0Excellent

2.7 GB8% of RAM~107 tok/sEstimated1.96B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama3.2\_3B\_vl](/fit/thkim0305-llama3-2_3b_vl)

General · thkim0305

Q8\_0Excellent

4.4 GB14% of RAM~59 tok/sEstimated3.53B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[ODIN C1](/fit/skis-ai-research-odin-c1)

General · skis-ai-research

Q8\_0Excellent

1.8 GB6% of RAM~179 tok/sEstimated1.17B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Lucy 128k](/fit/menlo-lucy-128k)

General · menlo

Q8\_0Excellent

2.4 GB8% of RAM~122 tok/sEstimated1.72B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[sentiment llama 3.2](/fit/staedi-sentiment-llama-3-2)

General · staedi

Q8\_0Excellent

4.5 GB14% of RAM~58 tok/sEstimated3.61B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[llama3.2\_1B\_vl](/fit/thkim0305-llama3-2_1b_vl)

General · thkim0305

Q8\_0Excellent

1.6 GB5% of RAM~210 tok/sEstimated1B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[veridian beta](/fit/magistrtheone-veridian-beta)

General · magistrtheone

Q8\_0Excellent

11.5 GB36% of RAMBenchmark needed9.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Falcon H1 3B Base](/fit/tiiuae-falcon-h1-3b-base)

General · TII

Q8\_0Excellent

4.0 GB13% of RAM~67 tok/sEstimated3.15B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Qwen3.5 0.8B Claude 4.6 Opus Reasoning Distilled](/fit/jackrong-qwen3-5-0-8b-claude-4-6-opus-reasoning-distilled)

Reasoning · jackrong

Q8\_0Excellent

1.5 GB5% of RAM~241 tok/sEstimated0.87B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

[Huihui Qwen3.5 2B abliterated](/fit/huihui-ai-huihui-qwen3-5-2b-abliterated)

General · huihui-ai

Q8\_0Excellent

3.0 GB9% of RAM~92 tok/sEstimated2.27B params

What Mac for this model? [Run with ToolPiper](/toolpiper)

Show more (3491 remaining)

## 30-core vs 38-core GPU

Both bins run the same 400 GB/s memory bus, so token generation is the same on either one. The extra cores show up in image and video work, not in tokens per second.

Configuration

Memory bandwidth

Memory options

Models that fit

12-core CPU, 30-core GPU

400 GB/s

32, 64, 96 GB

Identical

12-core CPU, 38-core GPU

400 GB/s

32, 64, 96 GB

Identical

## Measured on the M2 Max

Nobody has submitted a benchmark on the M2 Max yet, so every speed on this page is the formula estimate rather than a measured run. The estimate is bandwidth-driven and calibrated against chips that do have data, which makes it a good guide and not a promise.

ToolPiper contributes a result anonymously when you run the benchmark, and the [leaderboard](/fit/benchmarks) shows every chip that already has one.

## Where to go from here

What each step actually changes for local models, rather than which one is newer.

[One tier up

Mac Studio M2 Ultra

2x the memory bandwidth, up to 192 GB instead of 96 GB

](/mac-studio/m2-ultra)[Newer generation

Mac Studio M4 Max

1.4x the memory bandwidth, up to 128 GB instead of 96 GB

](/mac-studio/m4-max)[Used market alternative

Mac Studio M1 Max

64 GB ceiling instead of 96 GB

](/mac-studio/m1-max)[Same chip, other Mac

MacBook Pro 14" M2 Max

The same chip in a different Mac

](/macbook-pro-14/m2-max)[Same chip, other Mac

MacBook Pro 16" M2 Max

The same chip in a different Mac

](/macbook-pro-16/m2-max)

## Why unified memory is the number that matters

On a PC the model has to fit in GPU VRAM, which is a separate pool from system RAM and usually the smaller of the two. Apple Silicon has one pool. The M2 Max's 400 GB/s bus is shared by CPU, GPU, and Neural Engine, so a 96 GB machine can hand almost all of that to a model with no copy across a bus.

Apple stopped selling this one, which is exactly why it is interesting. The Studio exists for this workload. It carries the widest memory buses and the highest capacities Apple sells, and it runs at full clocks indefinitely. A used M2 Max at 96 GB still gives you 400 GB/s and a hard 129B ceiling, and neither number degrades with age the way a battery does.

## Common questions

### Can the M2 Max Mac Studio run a 70B model?

Yes, at 96 GB. A 70B model at Q4\_K\_M needs about 46 GB including an 8K context, and 96 GB of unified memory leaves about 84 GB for weights once macOS takes its share. At 32 GB it does not fit at any quantization worth running.

### How much unified memory should I get with the M2 Max Mac Studio?

Memory is the only spec that changes what you can run at all. 32 GB holds about a 42B model at Q4; 96 GB holds about 129B. It is soldered, so this is a one-time decision, and it is the upgrade worth paying for before core count.

### How fast are local LLMs on the M2 Max?

Token generation is bandwidth-bound, so M2 Max throughput scales with its 400 GB/s memory bus. Divide bandwidth by the size of the weights actually read per token to get the ceiling, then expect roughly half of that in practice. A 7B model at Q4 reads about 4 GB per token pass, so the M2 Max lands in the tens of tokens per second and a 70B model lands in the single digits.

### Is the 38-core GPU worth it over the 30-core on the M2 Max?

Not for LLMs. Both bins run the same 400 GB/s memory bus and take the same memory options, and token generation is bound by bandwidth rather than GPU cores. The extra cores show up in image generation and video work, not in tokens per second.

### Is a used M2 Max Mac Studio still worth buying for local AI?

For inference, the specs that matter do not age: 400 GB/s and up to 96 GB of unified memory are the same numbers today as they were in 2023. A used M2 Max at the top memory option usually beats a new base-tier machine at the same price on both. Check the battery and the display, not the silicon.

## Run these models on your Mac Studio

ToolPiper downloads, manages, and runs local models on Apple Silicon. Free, and nothing leaves the machine.

[Get ToolPiper](/toolpiper)[Compare against another Mac](/fit?chip=m2-max&ram=32)

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