gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
90 vs 59
Hardware Fit
78 vs 65
Quality Score
95 vs 57
Hardware
gemma4:e4b-mlx qwen3.5-9b-mlx
MachineMacBook ProMac mini
CPUApple M2 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen3.5-9b-mlx
Tokens/sec46.114.3
First chunk284 ms24 ms
TTFT3.9 s13.4 s
Load time0.1 s13.3 s
Memory usage10.8 GB2.5 GB
Memory %68%10%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
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