gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 14, 2026 · Apple M4
Global Score
82 vs 72
Hardware Fit
99 vs 51
Quality Score
75 vs 81
Hardware
gemma4:e2b-mlx qwen3.5-9b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx qwen3.5-9b
Tokens/sec70.414.4
First chunk96 ms4 ms
TTFT96 ms824 ms
Load time2.5 sN/A
Memory usage5.7 GB48.3 GB
Memory %36%151%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
qwen3.5-9b
Speed
31/50
TTFT
20/20
Memory
0/30
Quality
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5-9b
Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong 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