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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

lmstudio-community/Phi-4-reasoning-plus-MLX-4bit

LM-STUDIO GGUF

Not Rec.

Mar 5, 2026 · Apple M4

Global Score

77 vs 33

Hardware Fit

100 vs 74

Quality Score

67 vs 15

Hardware

mlx-community/meta… lmstudio-community…

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… lmstudio-community…

Tokens/sec54.311.5

First chunk277 ms670 ms

TTFT277 ms670 ms

Load timeN/AN/A

Memory usage4.2 GB3.0 GB

Memory %7%9%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

lmstudio-community/Phi-…

Speed

24/50

TTFT

20/20

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

lmstudio-community/Phi-…

Reasoning

8/20

Coding

1/20

Instruction

1/20

Structured

1/15

Math

1/15

Multilingual

3/10

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

View mlx-community/meta… details | View lmstudio-community… 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