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gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
85 vs 60
Hardware Fit
64 vs 80
Quality Score
94 vs 52

Hardware

gemma-4-31b-it-mlx lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M4 Pro
Cores1614
RAM128 GB48 GB
GPUApple M4 MaxApple M4 Pro
OSmacOS 26.5.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma-4-31b-it-mlx lfm2.5-thinking:1.2b
Tokens/sec13.6227.0
First chunk16 ms60 ms
TTFT558 ms30.0 s
Load time12.3 s0.7 s
Memory usage0.0 GB2.6 GB
Memory %0%6%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

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

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

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

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
View gemma-4-31b-it-mlx details | View lfm2.5-thinking:1.2b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest