---
title: "MacBook Pro 14\" M4 Pro: What AI Models Can It Run? | ModelPiper"
description: "Local AI on the M4 Pro MacBook Pro 14\": 273 GB/s memory bandwidth and 24 to 48 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run."
canonical: "https://modelpiper.com/macbook-pro-14/m4-pro"
---

# MacBook Pro 14" M4 Pro: What AI Models Can It Run? | ModelPiper

> Local AI on the M4 Pro MacBook Pro 14": 273 GB/s memory bandwidth and 24 to 48 GB of unified memory. See which LLMs fit, at which quantization, and how fast they run.

[← All MacBook Pro 14" models](/macbook-pro-14)

# MacBook Pro 14" M4 Pro

The M4 Pro MacBook Pro 14" runs local models at 273 GB/s of memory bandwidth with 24 to 48 GB of unified memory. On Apple Silicon that memory is shared with the GPU, so the whole pool is available for weights: at 48 GB you can hold roughly a 63B dense model at Q4. The Pro roughly doubles the base chip's memory bus. That moves mid-size models from usable to comfortable without moving you into desktop money.

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 M4 Pro

CPU cores12 or 14

GPU cores16 or 20

Unified memory24 or 48 GB

Memory bandwidth273 GB/s

Neural Engine38 TOPS

Released2024

AvailabilityUsed market

Memory bandwidth is faster than 44% of the Apple Silicon chips shipped in a Mac, against a 819 GB/s peak.

Its memory ceiling is above 44% 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

16-core 20-core

Unified memory

24 GB48 GB

## What each memory option runs

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

[24 GB](#ram-24gb)[48 GB](#ram-48gb)

### 24 GB unified memory

21 GB usable for weights · 273 GB/s

3,352 of 3,641 models fit, and 3,007 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Qwen3 VL 30B A3B Instruct](/fit/qwen-qwen3-vl-30b-a3b-instruct) · 31.07B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~164 tok/s

### 48 GB unified memory

42 GB usable for weights · 273 GB/s

3,503 of 3,641 models fit, and 3,351 of them run with headroom rather than as a squeeze.

Largest model at Q4

[Yi 34Bx2 MoE 60B DPO](/fit/cloudyu-yi-34bx2-moe-60b-dpo) · 60.81B

Best all-round pick

[Qwen3.5 0.8B](/fit/qwen-qwen3-5-0-8b) · Q8\_0 · ~164 tok/s

## What a 24 GB M4 Pro MacBook Pro 14" can run

Every model in the database against this exact configuration, at 273 GB/s. Ratings and speeds are the same numbers the model pages show.

All Categories

Show All

All Sizes

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 GB6% of RAM~164 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 GB13% of RAM~63 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 GB6% of RAM~164 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 GB13% of RAM~63 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 GB24% of RAM~31 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 GB24% of RAM~31 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 GB8% of RAM~122 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 GB4% of RAM~409 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 GB8% of RAM~122 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 GB41% 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 GB8% of RAM~122 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 GB4% of RAM~409 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 GB14% of RAM~56 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 GB6% of RAM~193 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 GB8% of RAM~122 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 GB4% of RAM~409 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 GB14% of RAM~56 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 GB4% of RAM~409 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 GB8% of RAM~122 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 GB4% of RAM~409 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 GB8% of RAM~122 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 GB4% of RAM~409 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 GB34% 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 GB8% of RAM~122 tok/sEstimated1.17B 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 GB8% of RAM~122 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 GB36% of RAMBenchmark needed7.25B 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 GB14% of RAM~56 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 GB17% of RAM~45 tok/sEstimated3.19B 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 GB9% of RAM~95 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 GB9% of RAM~95 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 GB37% of RAMBenchmark needed7.58B 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 GB16% of RAM~48 tok/sEstimated3B 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 GB4% of RAM~318 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 GB10% of RAM~89 tok/sEstimated1.6B 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 GB9% of RAM~91 tok/sEstimated1.58B 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 GB47% of RAM~15 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 GB26% of RAM~28 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 GB21% of RAM~36 tok/sEstimated4B 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 GB8% of RAM~119 tok/sEstimated1.2B 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 GB16% of RAM~48 tok/sEstimated3B 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 GB13% of RAM~59 tok/sEstimated2.41B 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~7,150 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~477 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 GB6% of RAM~191 tok/sEstimated0.75B 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 GB12% of RAM~70 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 GB8% of RAM~108 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 GB12% of RAM~67 tok/sEstimated2.13B 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 GB9% of RAM~93 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 GB4% of RAM~292 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 GB8% of RAM~110 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 GB10% of RAM~80 tok/sEstimated1.78B 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 GB5% of RAM~207 tok/sEstimated0.69B params

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

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

General · openbmb

Q8\_0Excellent

1.7 GB7% of RAM~132 tok/sEstimated1.08B 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 GB8% of RAM~115 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 GB4% of RAM~409 tok/sEstimated0.35B 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 GB8% of RAM~118 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 GB41% of RAMBenchmark needed8.47B 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 GB33% 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~14,300 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 GB11% of RAM~73 tok/sEstimated1.96B params

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

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

General · jinaai

Q8\_0Excellent

2.2 GB9% of RAM~93 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 GB12% of RAM~67 tok/sEstimated2.13B 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 GB12% of RAM~67 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 GB40% of RAMBenchmark needed8.05B 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 GB13% 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 GB7% of RAM~149 tok/sEstimated0.96B 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 GB4% of RAM~409 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 GB8% of RAM~111 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 GB7% of RAM~132 tok/sEstimated1.08B 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 GB4% of RAM~397 tok/sEstimated0.36B 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 GB9% of RAM~95 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 GB46% 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 GB31% 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 GB8% of RAM~115 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 GB8% of RAM~115 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 GB8% of RAM~115 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 GB8% of RAM~115 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 GB6% of RAM~193 tok/sEstimated0.74B 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 GB10% of RAMBenchmark needed1.77B 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 GB17% of RAM~46 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 GB5% of RAM~231 tok/sEstimated0.62B 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 GB9% of RAM~95 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 GB7% of RAM~149 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 GB10% of RAM~80 tok/sEstimated1.78B 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 GB9% of RAM~95 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 GB12% of RAM~67 tok/sEstimated2.13B params

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

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

General · kgrabko

Q8\_0Excellent

2.2 GB9% of RAM~95 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 GB4% of RAM~409 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 GB9% of RAM~103 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 GB8% of RAM~115 tok/sEstimated1.24B 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 GB9% of RAM~93 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 GB13% of RAM~63 tok/sEstimated2.27B 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 GB8% 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 GB8% of RAM~110 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 GB9% of RAM~98 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 GB47% 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 GB27% 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 GB17% of RAMBenchmark needed3.3B 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 GB8% of RAM~110 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 GB11% of RAM~73 tok/sEstimated1.96B 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 GB8% of RAM~122 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 GB10% of RAM~83 tok/sEstimated1.72B 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 GB7% of RAM~143 tok/sEstimated1B 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 GB6% of RAM~164 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 GB13% of RAM~63 tok/sEstimated2.27B params

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

[Qwen3.5 0.8B Coder Calude Full](/fit/rahul7star-qwen3-5-0-8b-coder-calude-full)

Coding · rahul7star

Q8\_0Excellent

1.5 GB6% of RAM~164 tok/sEstimated0.87B params

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

[UI Venus 1.5 2B](/fit/inclusionai-ui-venus-1-5-2b)

General · inclusionai

Q8\_0Excellent

3.2 GB13% of RAM~59 tok/sEstimated2.44B params

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

[Falcon H1 1.5B Base](/fit/tiiuae-falcon-h1-1-5b-base)

General · TII

Q8\_0Excellent

2.2 GB9% of RAM~92 tok/sEstimated1.55B params

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

[Qwen3 Coder Next DFlash](/fit/z-lab-qwen3-coder-next-dflash)

Coding · z-lab

Q8\_0Excellent

1.7 GB7% of RAM~132 tok/sEstimated1.08B params

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

[Nemotron 3 Nano Omni 30B A3B JANGTQ4](/fit/osaurusai-nemotron-3-nano-omni-30b-a3b-jangtq4)

General · osaurusai

Q8\_0Excellent

6.9 GB29% of RAMBenchmark needed5.75B params

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

[LLAMA 3.2 1B OpenHermes2.5](/fit/artificialguybr-llama-3-2-1b-openhermes2-5)

General · artificialguybr

Q8\_0Excellent

1.9 GB8% of RAM~115 tok/sEstimated1.24B params

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

[Dayhoff 170m GR](/fit/microsoft-dayhoff-170m-gr)

General · Microsoft

Q8\_0Excellent

0.7 GB3% of RAMBenchmark needed0.17B params

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

[evolai qwen2.5 1.5b](/fit/roystar-evolai-qwen2-5-1-5b)

General · roystar

Q8\_0Excellent

2.2 GB9% of RAM~93 tok/sEstimated1.54B params

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

[VibeThinker 1.5B](/fit/weiboai-vibethinker-1-5b)

General · weiboai

Q8\_0Excellent

2.5 GB10% of RAM~80 tok/sEstimated1.78B params

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

[Dayhoff 170m UR90](/fit/microsoft-dayhoff-170m-ur90)

General · Microsoft

Q8\_0Excellent

0.7 GB3% of RAMBenchmark needed0.17B params

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

[Falcon H1 1.5B Deep Base](/fit/tiiuae-falcon-h1-1-5b-deep-base)

General · TII

Q8\_0Excellent

2.2 GB9% of RAM~92 tok/sEstimated1.55B params

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

[Hunyuan 0.5B Pretrain](/fit/tencent-hunyuan-0-5b-pretrain)

General · tencent

Q8\_0Excellent

1.1 GB5% of RAM~265 tok/sEstimated0.54B params

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

[GLM 0.5B](/fit/primeintellect-glm-0-5b)

General · primeintellect

Q8\_0Excellent

1.1 GB5% of RAMBenchmark needed0.54B 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 GB23% of RAM~32 tok/sEstimated4.44B 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 GB21% of RAM~34 tok/sEstimated4.15B params

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

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

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB16% of RAM~47 tok/sEstimated3.04B 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 GB18% of RAM~42 tok/sEstimated3.4B params

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

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

Multimodal · rednote-hilab

Q8\_0Excellent

3.9 GB16% of RAM~47 tok/sEstimated3.04B params

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

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

Multimodal · nanonets

Q8\_0Excellent

4.7 GB20% of RAM~38 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 GB21% of RAM~36 tok/sEstimated4B 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 GB20% of RAM~38 tok/sEstimated3.75B params

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

[internlm2\_5 step prover critic](/fit/internlm-internlm2_5-step-prover-critic)

General · internlm

Q8\_0Excellent

2.1 GB9% of RAM~102 tok/sEstimated1.4B 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 GB23% of RAM~32 tok/sEstimated4.44B 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 GB16% of RAM~47 tok/sEstimated3.04B 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 GB18% of RAM~42 tok/sEstimated3.4B params

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

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

General · weiboai

Q8\_0Excellent

3.9 GB16% of RAM~46 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 GB17% of RAM~44 tok/sEstimated3.25B params

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

[Ouro 2.6B](/fit/bytedance-ouro-2-6b)

General · bytedance

Q8\_0Excellent

2.7 GB11% of RAM~71 tok/sEstimated2.01B 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 GB18% of RAM~42 tok/sEstimated3.4B 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 GB17% of RAM~45 tok/sEstimated3.21B params

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

[InternVL3 2B hf](/fit/opengvlab-internvl3-2b-hf)

General · opengvlab

Q8\_0Excellent

2.8 GB12% of RAM~68 tok/sEstimated2.09B params

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

[Ouro 1.4B Thinking](/fit/bytedance-ouro-1-4b-thinking)

General · bytedance

Q8\_0Excellent

2.1 GB9% of RAM~100 tok/sEstimated1.43B params

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

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

General · radheneev

Q8\_0Excellent

4.1 GB17% of RAM~45 tok/sEstimated3.21B params

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

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

Reasoning · jackrong

Q8\_0Excellent

5.7 GB24% of RAM~31 tok/sEstimated4.66B 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 GB17% of RAM~45 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 GB20% of RAM~38 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 GB17% of RAM~45 tok/sEstimated3.21B params

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

[InternVL2\_5 2B MPO hf](/fit/opengvlab-internvl2_5-2b-mpo-hf)

General · opengvlab

Q8\_0Excellent

3.0 GB12% of RAM~65 tok/sEstimated2.21B 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 GB22% of RAM~33 tok/sEstimated4.3B 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 GB16% of RAM~48 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 GB18% of RAM~41 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 GB21% of RAM~35 tok/sEstimated4.07B params

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

[Qwen3 ASR 0.6B](/fit/bezzam-qwen3-asr-0-6b)

General · bezzam

Q8\_0Excellent

1.4 GB6% of RAM~183 tok/sEstimated0.78B 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 GB18% of RAM~42 tok/sEstimated3.4B params

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

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

General · magistrtheone

Q8\_0Excellent

11.5 GB48% of RAMBenchmark needed9.87B params

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

Show more (3491 remaining)

## 16-core vs 20-core GPU

Both bins run the same 273 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, 16-core GPU

273 GB/s

24, 48 GB

Identical

14-core CPU, 20-core GPU

273 GB/s

24, 48 GB

Identical

## Measured on the M4 Pro

Nobody has submitted a benchmark on the M4 Pro 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

MacBook Pro 14" M4 Max

2x the memory bandwidth, up to 128 GB instead of 48 GB

](/macbook-pro-14/m4-max)[Newer generation

MacBook Pro 14" M5 Pro

1.1x the memory bandwidth, up to 64 GB instead of 48 GB

](/macbook-pro-14/m5-pro)[Used market alternative

MacBook Pro 14" M3 Pro

45% less memory bandwidth, 36 GB ceiling instead of 48 GB

](/macbook-pro-14/m3-pro)[Same chip, other Mac

MacBook Pro 16" M4 Pro

The same chip in a different Mac

](/macbook-pro-16/m4-pro)[Same chip, other Mac

Mac mini M4 Pro

The same chip, but it takes up to 64 GB here instead of 48 GB

](/mac-mini/m4-pro)

## 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 M4 Pro's 273 GB/s bus is shared by CPU, GPU, and Neural Engine, so a 48 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 14-inch chassis cools well enough to hold its clocks through a long generation run, and it is the smallest machine Apple puts a Max chip in. A used M4 Pro at 48 GB still gives you 273 GB/s and a hard 63B ceiling, and neither number degrades with age the way a battery does.

## Common questions

### Can the M4 Pro MacBook Pro 14" run a 70B model?

No. A 70B model at Q4\_K\_M needs about 46 GB, and the largest M4 Pro MacBook Pro 14" tops out at 48 GB, which leaves about 42 GB for weights. The practical ceiling on this machine is around 63B parameters at Q4.

### How much unified memory should I get with the M4 Pro MacBook Pro 14"?

Memory is the only spec that changes what you can run at all. 24 GB holds about a 31B model at Q4; 48 GB holds about 63B. 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 M4 Pro?

Token generation is bandwidth-bound, so M4 Pro throughput scales with its 273 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 M4 Pro lands in the tens of tokens per second and a 70B model lands in the single digits.

### Is the 20-core GPU worth it over the 16-core on the M4 Pro?

Not for LLMs. Both bins run the same 273 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 M4 Pro MacBook Pro 14" still worth buying for local AI?

For inference, the specs that matter do not age: 273 GB/s and up to 48 GB of unified memory are the same numbers today as they were in 2024. A used M4 Pro 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 MacBook Pro 14"

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=m4-pro&ram=24)

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