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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score

77 vs 82

Hardware Fit

100 vs 56

Quality Score

67 vs 93

Hardware

mlx-community/meta… google/gemma-4-26b…

MachineMac miniDocker Container

CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H

Cores1416

RAM64 GB15 GB

GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]

OSmacOS 15.7.4Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mlx-community/meta… google/gemma-4-26b…

Tokens/sec54.312.0

First chunk277 ms86 ms

TTFT277 ms2.8 s

Load timeN/A57.2 s

Memory usage4.2 GB9.1 GB

Memory %7%59%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-4-26b-a4b-…

Speed

22/50

TTFT

14/20

Memory

20/30

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

google/gemma-4-26b-a4b-…

Reasoning

17/20

Coding

19/20

Instruction

20/20

Structured

14/15

Math

13/15

Multilingual

10/10

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

View mlx-community/meta… details | View google/gemma-4-26b… 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