gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
85 vs 80
Hardware Fit
95 vs 98
Quality Score
81 vs 72
Hardware
gemma4:e4b-mlx qwen3-vl:30b
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-vl:30b
Tokens/sec47.3208.9
First chunk258 ms102 ms
TTFT258 ms684 ms
Load time5.1 s0.1 s
Memory usage7.9 GB22.0 GB
Memory %49%47%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
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-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong 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