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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Not Rec.

Jul 7, 2026 · Cortex-X925

Global Score

77 vs 88

Hardware Fit

100 vs 80

Quality Score

67 vs 92

Hardware

mlx-community/meta… gemma4:26b

MachineMac miniASUSTeK COMPUTER INC. GX10

CPUApple M4 ProCortex-X925

Cores1420

RAM64 GB122 GB

GPUApple M4 ProDevice 2e12

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

mlx-community/meta… gemma4:26b

Tokens/sec54.366.7

First chunk277 ms583 ms

TTFT277 ms30.0 s

Load timeN/A6.7 s

Memory usage4.2 GB17.6 GB

Memory %7%15%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma4:26b

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

Reasoning

19/20

Coding

17/20

Instruction

17/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

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