gemma-4-31b-it-mlx
LM-STUDIO MLXgemma4 · 31B · 8bit
Aug 19, 2026 · Apple M4 Max
qwen3.5-9b
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 3, 2026 · Apple M4
Global Score
85 vs 81
Hardware Fit
64 vs 84
Quality Score
94 vs 79
Hardware
gemma-4-31b-it-mlx qwen3.5-9b
MachineMacBook ProMacBook Air
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB32 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma-4-31b-it-mlx qwen3.5-9b
Tokens/sec13.620.4
First chunk16 ms3034 ms
TTFT558 ms3.0 s
Load time12.3 sN/A
Memory usage0.0 GB5.6 GB
Memory %0%17%
HW Fit Score Breakdown
gemma-4-31b-it-mlx
Speed
14/50
TTFT
20/20
Memory
30/30
qwen3.5-9b
Speed
41/50
TTFT
14/20
Memory
29/30
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
qwen3.5-9b
Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest