mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

phi3:14b

OLLAMA GGUF

phi3 · 14.0B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score

77 vs 63

Hardware Fit

100 vs 83

Quality Score

67 vs 55

Hardware

mlx-community/meta… phi3:14b

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… phi3:14b

Tokens/sec54.312.7

First chunk277 msN/A

TTFT277 ms434 ms

Load timeN/A0.9 s

Memory usage4.2 GB17.7 GB

Memory %7%55%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

phi3:14b

Speed

23/50

TTFT

30/20

Memory

30/30

Quality

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

phi3:14b

Reasoning

14/20

Coding

2/20

Instruction

14/20

Structured

7/15

Math

8/15

Multilingual

10/10

Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Strong

View mlx-community/meta… details | View phi3:14b details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest