gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
85 vs 84
Hardware Fit
95 vs 97
Quality Score
81 vs 79
Hardware
gemma4:e4b-mlx qwen3:8b
MachineMacBook ProASUS
CPUApple M2 ProIntel Core™ Ultra 9 285K
Cores1024
RAM16 GB47 GB
GPUApple M2 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.5Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen3:8b
Tokens/sec47.3208.0
First chunk258 ms82 ms
TTFT258 ms1.3 s
Load time5.1 s1.5 s
Memory usage7.9 GB9.6 GB
Memory %49%20%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
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
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong 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