---
title: "Mac Studio M1 Ultra: What AI Models Can It Run? | ModelPiper"
description: "Local AI on the M1 Ultra Mac Studio: 800 GB/s memory bandwidth and 64 to 128 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run."
canonical: "https://modelpiper.com/mac-studio/m1-ultra"
---

# Mac Studio M1 Ultra: What AI Models Can It Run? | ModelPiper

> Local AI on the M1 Ultra Mac Studio: 800 GB/s memory bandwidth and 64 to 128 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run.

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

# Mac Studio M1 Ultra

The M1 Ultra Mac Studio runs local models at 800 GB/s of memory bandwidth with 64 to 128 GB of unified memory. On Apple Silicon that memory is shared with the GPU, so the whole pool is available for weights: at 128 GB you can hold roughly a 172B dense model at Q4. Two Max dies fused together: the widest memory bus and the highest capacity Apple sells. This is the tier that runs frontier-size open weights locally.

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 M1 Ultra

CPU cores20

GPU cores48 or 64

Unified memory64 or 128 GB

Memory bandwidth800 GB/s

Neural Engine22 TOPS

Released2022

AvailabilityUsed market

Memory bandwidth is faster than 83% of the Apple Silicon chips shipped in a Mac, against a 819 GB/s peak.

Its memory ceiling is above 67% 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

48-core 64-core

Unified memory

64 GB128 GB

## What each memory option runs

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

[64 GB](#ram-64gb)[128 GB](#ram-128gb)

### 64 GB unified memory

56 GB usable for weights · 800 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 4B](/fit/qwen-qwen3-5-4b) · Q8\_0 · ~90 tok/s

### 128 GB unified memory

112 GB usable for weights · 800 GB/s

3,582 of 3,641 models fit, and 3,532 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Kimi K2.5](/fit/moonshotai-kimi-k2-5) · 171B

Best all-round pick

[Qwen3.6 35B A3B](/fit/qwen-qwen3-6-35b-a3b) · Q8\_0 · ~140 tok/s

## What a 64 GB M1 Ultra Mac Studio can run

Every model in the database against this exact configuration, at 800 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 4B](/fit/qwen-qwen3-5-4b)

Multimodal · Alibaba · 2026-02-27

Q8\_0Excellent

5.7 GB9% of RAM~90 tok/sEstimated4.66B 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 GB22% of RAM~35 tok/sEstimated11.96B params

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

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

Multimodal · Alibaba · 2026-02-28

Q8\_0Excellent

1.5 GB2% of RAM~482 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 GB5% of RAM~185 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 GB2% of RAM~482 tok/sEstimated0.87B 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 GB9% of RAM~90 tok/sEstimated4.66B 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 GB5% of RAM~185 tok/sEstimated2.27B 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 GB18% of RAM~43 tok/sEstimated9.65B 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 GB18% of RAM~43 tok/sEstimated9.65B 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 GB18% of RAM~43 tok/sEstimated9.65B params

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

[Qwen3.6 35B A3B](/fit/qwen-qwen3-6-35b-a3b)

Multimodal · Alibaba · 2026-04-15

Q8\_0Excellent

40.6 GB63% of RAMBenchmark needed35.95B 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 GB3% of RAM~358 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 GB1% of RAM~1,197 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 GB3% of RAM~358 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 GB15% of RAMBenchmark needed8.3B params

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

[LFM2 24B A2B](/fit/liquidai-lfm2-24b-a2b)

General · Liquid AI · 2025-11-28

Q8\_0Excellent

27.1 GB42% of RAMBenchmark needed23.84B 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 GB3% of RAM~358 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 GB1% of RAM~1,197 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 GB5% of RAM~163 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 GB2% of RAM~566 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 GB3% of RAM~358 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 GB1% of RAM~1,197 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 GB5% of RAM~163 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 GB1% of RAM~1,197 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 GB3% of RAM~358 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 GB1% of RAM~1,197 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 GB3% of RAM~358 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 GB1% of RAM~1,197 tok/sEstimated0.35B params

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

[LaSER Qwen3 8B](/fit/alibaba-nlp-laser-qwen3-8b)

General · alibaba-nlp · 2026-03-31

Q8\_0Excellent

9.6 GB15% of RAM~51 tok/sEstimated8.19B params

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

[Qwen3.5 35B A3B](/fit/qwen-qwen3-5-35b-a3b)

Multimodal · Alibaba · 2026-02-24

Q8\_0Excellent

40.6 GB63% of RAMBenchmark needed35.95B 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 GB13% 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 GB3% of RAM~358 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 GB5% of RAM~163 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 GB6% of RAM~131 tok/sEstimated3.19B 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 GB3% of RAM~358 tok/sEstimated1.17B params

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

[Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled](/fit/jackrong-qwen3-5-35b-a3b-claude-4-6-opus-reasoning-distilled)

Reasoning · jackrong · 2026-03-07

Q8\_0Excellent

40.6 GB63% of RAMBenchmark needed35.95B 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 GB13% of RAMBenchmark needed7.25B params

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

[VAETKI 20B A2B](/fit/nc-ai-consortium-vaetki-20b-a2b)

General · NCAI · 2025-12-29

Q8\_0Excellent

22.4 GB35% of RAMBenchmark needed19.6B params

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

[gemma 4 26B A4B it](/fit/google-gemma-4-26b-a4b-it)

Multimodal · Google · 2025-07-30

Q8\_0Excellent

29.5 GB46% of RAMBenchmark needed26B 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 GB15% of RAM~52 tok/sEstimated8B 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 GB10% of RAM~82 tok/sEstimated5.1B 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 GB6% of RAM~140 tok/sEstimated3B params

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

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

General · ibm-granite · 2025-09-16

Q8\_0Excellent

36.4 GB57% of RAMBenchmark needed32.21B 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 GB8% of RAM~105 tok/sEstimated4B 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 GB3% of RAM~279 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 GB3% of RAM~279 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 GB14% of RAMBenchmark needed7.58B params

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

[NVIDIA Nemotron Nano 9B v2](/fit/nvidia-nvidia-nemotron-nano-9b-v2)

Reasoning · NVIDIA · 2025-06-01

Q8\_0Excellent

10.5 GB16% of RAM~47 tok/sEstimated9B 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 GB2% of RAM~931 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 GB4% of RAM~262 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 GB6% of RAM~140 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 GB4% of RAM~265 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 GB5% of RAM~174 tok/sEstimated2.41B params

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

[DeepSeek R1 Distill Qwen 7B](/fit/deepseek-ai-deepseek-r1-distill-qwen-7b)

Reasoning · DeepSeek · 2025-01-20

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B params

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

[Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled](/fit/jackrong-qwen3-5-27b-claude-4-6-opus-reasoning-distilled)

Reasoning · jackrong · 2026-02-27

Q8\_0Excellent

31.5 GB49% of RAM~15 tok/sEstimated27.78B 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 GB3% of RAM~349 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 GB1% of RAM~20,952 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 GB1% of RAM~1,397 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 GB2% of RAM~559 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 GB8% of RAM~104 tok/sEstimated4.02B params

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

[gpt oss 20b](/fit/openai-gpt-oss-20b)

General · openai

Q8\_0Excellent

24.5 GB38% of RAMBenchmark needed21.51B params

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

[Qwen3.6 27B](/fit/qwen-qwen3-6-27b)

Multimodal · Alibaba · 2026-04-21

Q8\_0Excellent

31.5 GB49% of RAM~15 tok/sEstimated27.78B 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 GB4% of RAM~206 tok/sEstimated2.03B params

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

[Qwen3 VL 4B Instruct](/fit/qwen-qwen3-vl-4b-instruct)

Multimodal · Alibaba

Q8\_0Excellent

5.5 GB9% of RAM~94 tok/sEstimated4.44B params

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

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

Multimodal · zai-org

Q8\_0Excellent

2.0 GB3% of RAM~315 tok/sEstimated1.33B params

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

[Qwen3 30B A3B](/fit/qwen-qwen3-30b-a3b)

General · Alibaba · 2025-04-27

Q8\_0Excellent

34.6 GB54% of RAMBenchmark needed30.53B params

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

[gemma 3 12b it](/fit/google-gemma-3-12b-it)

Multimodal · Google · 2025-03-01

Q8\_0Excellent

13.9 GB22% of RAM~35 tok/sEstimated12B 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 GB4% of RAM~197 tok/sEstimated2.13B params

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

[Qwen3 Coder 30B A3B Instruct](/fit/qwen-qwen3-coder-30b-a3b-instruct)

Coding · Alibaba

Q8\_0Excellent

34.6 GB54% of RAMBenchmark needed30.53B params

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

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

Multimodal · datalab-to

Q8\_0Excellent

6.4 GB10% of RAM~79 tok/sEstimated5.3B params

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

[Rio 3.0 Open Mini](/fit/prefeitura-rio-rio-3-0-open-mini)

General · prefeitura-rio

Q8\_0Excellent

5.0 GB8% of RAM~104 tok/sEstimated4.02B 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 GB8% of RAM~101 tok/sEstimated4.15B params

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

[Qwen3 VL 4B Thinking](/fit/qwen-qwen3-vl-4b-thinking)

General · Alibaba

Q8\_0Excellent

5.5 GB9% of RAM~94 tok/sEstimated4.44B 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 GB3% of RAM~272 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 GB2% of RAM~855 tok/sEstimated0.49B params

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

[diffusiongemma 26B A4B it](/fit/google-diffusiongemma-26b-a4b-it)

Multimodal · Google

Q8\_0Excellent

29.3 GB46% of RAMBenchmark needed25.82B 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 GB3% of RAM~322 tok/sEstimated1.3B params

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

[Qwen3 4B Thinking 2507](/fit/qwen-qwen3-4b-thinking-2507)

General · Alibaba

Q8\_0Excellent

5.0 GB8% of RAM~104 tok/sEstimated4.02B 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 GB4% of RAM~235 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 GB6% of RAM~138 tok/sEstimated3.04B params

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

[Qwen2.5 7B](/fit/qwen-qwen2-5-7b)

General · Alibaba

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B params

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

[Phi 4 multimodal instruct](/fit/microsoft-phi-4-multimodal-instruct)

Multimodal · Microsoft · 2025-04-01

Q8\_0Excellent

16.1 GB25% of RAM~30 tok/sEstimated14B params

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

[DeepSeek R1 0528 Qwen3 8B](/fit/deepseek-ai-deepseek-r1-0528-qwen3-8b)

Reasoning · DeepSeek

Q8\_0Excellent

9.6 GB15% of RAM~51 tok/sEstimated8.19B params

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

[UI TARS 1.5 7B](/fit/bytedance-seed-ui-tars-1-5-7b)

Multimodal · bytedance-seed

Q8\_0Excellent

9.7 GB15% of RAM~51 tok/sEstimated8.29B params

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

[VLM2Vec Full](/fit/tiger-lab-vlm2vec-full)

General · tiger-lab

Q8\_0Excellent

5.1 GB8% of RAM~101 tok/sEstimated4.15B params

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

[DeepSeek V2 Lite](/fit/deepseek-ai-deepseek-v2-lite)

General · DeepSeek

Q8\_0Excellent

18.0 GB28% of RAMBenchmark needed15.71B params

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

[gemma 4 26B A4B](/fit/google-gemma-4-26b-a4b)

Multimodal · Google

Q8\_0Excellent

30.1 GB47% of RAMBenchmark needed26.54B 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 GB2% of RAM~607 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 GB7% of RAM~123 tok/sEstimated3.4B params

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

[DeepSeek R1 Distill Llama 8B](/fit/deepseek-ai-deepseek-r1-distill-llama-8b)

Reasoning · DeepSeek

Q8\_0Excellent

9.5 GB15% of RAM~52 tok/sEstimated8.03B params

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

[OTel LLM 4B IT](/fit/farbodtavakkoli-otel-llm-4b-it)

General · farbodtavakkoli

Q8\_0Excellent

5.3 GB8% of RAM~97 tok/sEstimated4.3B params

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

[Kimi VL A3B Instruct](/fit/moonshotai-kimi-vl-a3b-instruct)

Multimodal · moonshotai

Q8\_0Excellent

18.8 GB29% of RAMBenchmark needed16.41B params

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

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

General · openbmb

Q8\_0Excellent

1.7 GB3% of RAM~388 tok/sEstimated1.08B params

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

[OTel LLM 8.3B IT](/fit/farbodtavakkoli-otel-llm-8-3b-it)

General · farbodtavakkoli

Q8\_0Excellent

8.3 GB13% of RAM~60 tok/sEstimated6.97B params

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

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

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB6% of RAM~138 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 GB3% of RAM~338 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 GB1% of RAM~1,197 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 GB7% of RAM~112 tok/sEstimated3.75B params

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

[gemma 4 26B A4B it uncensored](/fit/trevorjs-gemma-4-26b-a4b-it-uncensored)

General · trevorjs

Q8\_0Excellent

29.3 GB46% of RAMBenchmark needed25.81B 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 GB3% of RAM~346 tok/sEstimated1.21B params

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

[RolmOCR](/fit/reducto-rolmocr)

Multimodal · reducto

Q8\_0Excellent

9.7 GB15% of RAM~51 tok/sEstimated8.29B params

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

[Qwen3 30B A3B Thinking 2507](/fit/qwen-qwen3-30b-a3b-thinking-2507)

General · Alibaba

Q8\_0Excellent

34.6 GB54% of RAMBenchmark needed30.53B 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 GB16% 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 GB7% of RAM~112 tok/sEstimated3.75B params

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

[Nanbeige4.1 3B](/fit/nanbeige-nanbeige4-1-3b)

General · nanbeige

Q8\_0Excellent

4.9 GB8% of RAM~107 tok/sEstimated3.93B params

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

[LLaVA OneVision 1.5 4B Base](/fit/lmms-lab-llava-onevision-1-5-4b-base)

General · lmms-lab

Q8\_0Excellent

5.8 GB9% of RAM~88 tok/sEstimated4.74B 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 GB8% of RAM~105 tok/sEstimated4B params

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

[Molmo2 O 7B](/fit/allenai-molmo2-o-7b)

Multimodal · allenai

Q8\_0Excellent

9.2 GB14% of RAM~54 tok/sEstimated7.76B params

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

[OTel LLM 3B IT](/fit/farbodtavakkoli-otel-llm-3b-it)

General · farbodtavakkoli

Q8\_0Excellent

5.2 GB8% of RAM~99 tok/sEstimated4.25B params

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

[granite 4.0 3b vision](/fit/ibm-granite-granite-4-0-3b-vision)

General · ibm-granite

Q8\_0Excellent

5.0 GB8% of RAM~105 tok/sEstimated4B params

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

[gpt oss 20b Derestricted](/fit/arliai-gpt-oss-20b-derestricted)

General · arliai

Q8\_0Excellent

23.8 GB37% of RAMBenchmark needed20.91B 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 GB12% 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 GB1% of RAM~41,905 tok/sEstimated0.01B params

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

[Kimi VL A3B Thinking](/fit/moonshotai-kimi-vl-a3b-thinking)

Multimodal · moonshotai

Q8\_0Excellent

18.8 GB29% of RAMBenchmark needed16.41B 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 GB4% of RAM~214 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 GB7% of RAM~112 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 GB3% of RAM~272 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 GB4% of RAM~197 tok/sEstimated2.13B params

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

[Josiefied Qwen3 VL 4B Instruct abliterated beta v1](/fit/goekdeniz-guelmez-josiefied-qwen3-vl-4b-instruct-abliterated-beta-v1)

Multimodal · goekdeniz-guelmez

Q8\_0Excellent

5.5 GB9% of RAM~94 tok/sEstimated4.44B params

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

[gemma 4 26B A4B it heretic](/fit/coder3101-gemma-4-26b-a4b-it-heretic)

Coding · coder3101

Q8\_0Excellent

29.3 GB46% of RAMBenchmark needed25.81B 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 GB6% of RAM~138 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 GB4% of RAM~197 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 GB15% of RAMBenchmark needed8.05B params

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

[Yi 6B 200K](/fit/01-ai-yi-6b-200k)

General · 01.ai

Q8\_0Excellent

7.3 GB11% of RAM~69 tok/sEstimated6.06B 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 GB7% of RAM~110 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 GB7% of RAM~123 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 GB7% of RAM~109 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 GB6% of RAM~136 tok/sEstimated3.09B params

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

[granite 8b code instruct 128k](/fit/ibm-granite-granite-8b-code-instruct-128k)

Coding · ibm-granite

Q8\_0Excellent

9.5 GB15% of RAM~52 tok/sEstimated8.05B params

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

[Qwen2 7B](/fit/qwen-qwen2-7b)

General · Alibaba

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B 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 GB6% of RAM~129 tok/sEstimated3.25B params

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

[Rex Omni](/fit/idea-research-rex-omni)

General · idea-research

Q8\_0Excellent

5.0 GB8% of RAM~103 tok/sEstimated4.07B 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 GB5% 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 GB2% of RAM~437 tok/sEstimated0.96B params

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

[ue3 qw35 4b v1](/fit/tristepin-ue3-qw35-4b-v1)

General · tristepin

Q8\_0Excellent

5.7 GB9% of RAM~90 tok/sEstimated4.66B 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 GB8% of RAM~108 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 GB1% of RAM~1,197 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 GB3% of RAM~325 tok/sEstimated1.29B params

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

[Dream v0 Base 7B](/fit/dream-org-dream-v0-base-7b)

General · dream-org

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B params

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

[Foundation Sec 8B Reasoning](/fit/fdtn-ai-foundation-sec-8b-reasoning)

Reasoning · fdtn-ai

Q8\_0Excellent

9.5 GB15% of RAM~52 tok/sEstimated8.03B params

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

[AceReason Nemotron 7B](/fit/nvidia-acereason-nemotron-7b)

Reasoning · nvidia

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B params

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

[AceReason Nemotron 1.1 7B](/fit/nvidia-acereason-nemotron-1-1-7b)

Reasoning · nvidia

Q8\_0Excellent

9.0 GB14% of RAM~55 tok/sEstimated7.62B params

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

[AFM 4.5B Base](/fit/arcee-ai-afm-4-5b-base)

General · arcee-ai

Q8\_0Excellent

5.7 GB9% of RAM~91 tok/sEstimated4.62B params

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

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

General · openbmb

Q8\_0Excellent

1.7 GB3% of RAM~388 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 GB7% of RAM~123 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 GB1% of RAM~1,164 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 GB22% 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 GB3% of RAM~279 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 GB17% of RAMBenchmark needed9.37B params

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

[Jan nano 128k](/fit/menlo-jan-nano-128k)

General · menlo

Q8\_0Excellent

5.0 GB8% of RAM~104 tok/sEstimated4.02B params

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

Show more (3491 remaining)

## 48-core vs 64-core GPU

Both bins run the same 800 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

20-core CPU, 48-core GPU

800 GB/s

64, 128 GB

Identical

20-core CPU, 64-core GPU

800 GB/s

64, 128 GB

Identical

## Measured on the M1 Ultra

Nobody has submitted a benchmark on the M1 Ultra 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.

[Newer generation

Mac Studio M3 Ultra

1x the memory bandwidth, up to 512 GB instead of 128 GB

](/mac-studio/m3-ultra)

## 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 M1 Ultra's 800 GB/s bus is shared by CPU, GPU, and Neural Engine, so a 128 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 M1 Ultra at 128 GB still gives you 800 GB/s and a hard 172B ceiling, and neither number degrades with age the way a battery does.

## Common questions

### Can the M1 Ultra Mac Studio run a 70B model?

Yes, at 128 GB. A 70B model at Q4\_K\_M needs about 46 GB including an 8K context, and 128 GB of unified memory leaves about 112 GB for weights once macOS takes its share. At 64 GB it does not fit at any quantization worth running.

### How much unified memory should I get with the M1 Ultra Mac Studio?

Memory is the only spec that changes what you can run at all. 64 GB holds about a 85B model at Q4; 128 GB holds about 172B. 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 M1 Ultra?

Token generation is bandwidth-bound, so M1 Ultra throughput scales with its 800 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 M1 Ultra lands in the tens of tokens per second and a 70B model lands in the single digits.

### Is the 64-core GPU worth it over the 48-core on the M1 Ultra?

Not for LLMs. Both bins run the same 800 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 M1 Ultra Mac Studio still worth buying for local AI?

For inference, the specs that matter do not age: 800 GB/s and up to 128 GB of unified memory are the same numbers today as they were in 2022. A used M1 Ultra 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=m1-ultra&ram=64)

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