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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma4:26b-nvfp4

OLLAMA GGUF

nvfp4

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score

77 vs 85

Hardware Fit

100 vs 80

Quality Score

67 vs 87

Hardware

mlx-community/meta… gemma4:26b-nvfp4

MachineMac miniMacBook Pro

CPUApple M4 ProApple M4 Pro

Cores1414

RAM64 GB48 GB

GPUApple M4 ProApple M4 Pro

OSmacOS 15.7.4macOS 26.4.1

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… gemma4:26b-nvfp4

Tokens/sec54.365.7

First chunk277 ms233 ms

TTFT277 ms30.0 s

Load timeN/A5.0 s

Memory usage4.2 GB15.2 GB

Memory %7%32%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma4:26b-nvfp4

Speed

50/50

TTFT

0/20

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

gemma4:26b-nvfp4

Reasoning

17/20

Coding

15/20

Instruction

16/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

View mlx-community/meta… details | View gemma4:26b-nvfp4 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