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gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
85 vs 76
Hardware Fit
64 vs 92
Quality Score
94 vs 69

Hardware

gemma-4-31b-it-mlx hf.co/bartowski/ai…
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M1 Pro
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M1 Pro
OSmacOS 26.5.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma-4-31b-it-mlx hf.co/bartowski/ai…
Tokens/sec13.629.9
First chunk16 ms105 ms
TTFT558 ms105 ms
Load time12.3 s3.4 s
Memory usage0.0 GB8.9 GB
Memory %0%56%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

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

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

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

hf.co/bartowski/ai9star…

Reasoning
11/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma-4-31b-it-mlx details | View hf.co/bartowski/ai… 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