Back to leaderboard

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
85 vs 66
Hardware Fit
64 vs 100
Quality Score
94 vs 52

Hardware

gemma-4-31b-it-mlx hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma-4-31b-it-mlx hf.co/empero-ai/Qw…
Tokens/sec13.626.5
First chunk16 ms447 ms
TTFT558 ms447 ms
Load time12.3 s3.3 s
Memory usage0.0 GB4.8 GB
Memory %0%30%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

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

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
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

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View gemma-4-31b-it-mlx details | View hf.co/empero-ai/Qw… 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