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lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
80 vs 85
Hardware Fit
95 vs 64
Quality Score
73 vs 94

Hardware

lfm2.5:8b gemma-4-31b-it-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M1 ProApple M4 Max
OSmacOS 26.6.2macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5:8b gemma-4-31b-it-mlx
Tokens/sec98.513.6
First chunk167 ms16 ms
TTFT2.5 s558 ms
Load time3.0 s12.3 s
Memory usage6.0 GB0.0 GB
Memory %37%0%

HW Fit Score Breakdown

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

gemma-4-31b-it-mlx

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

gemma-4-31b-it-mlx

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View lfm2.5:8b details | View gemma-4-31b-it-mlx 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