gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
85 vs 84
Hardware Fit
95 vs 94
Quality Score
81 vs 80
Hardware
gemma4:e4b-mlx qwen3.5:9b
MachineMacBook ProASUS
CPUApple M2 ProIntel Core™ i5-14600KF
Cores1020
RAM16 GB32 GB
GPUApple M2 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen3.5:9b
Tokens/sec47.386.3
First chunk258 ms316 ms
TTFT258 ms316 ms
Load time5.1 s0.3 s
Memory usage7.9 GB8.1 GB
Memory %49%25%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
Quality
gemma4:e4b-mlx
Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5:9b
Reasoning
14/20
Coding
16/20
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