gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
qwen/qwen3-vl-30b
LM-STUDIO GGUFqwen3vlmoe · 30B · Q4_K_M
Apr 24, 2026 · AMD Ryzen 5 5500
Global Score
91 vs 92
Hardware Fit
96 vs 95
Quality Score
89 vs 90
Hardware
gemma4:12b-mlx qwen/qwen3-vl-30b
MachineMacBook ProASUS
CPUApple M2 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB31 GB
GPUApple M2 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 26.5Nobara Linux 43
Archarm64x64
Power Modebalancedperformance
Performance
gemma4:12b-mlx qwen/qwen3-vl-30b
Tokens/sec24.724.8
First chunk610 ms11 ms
TTFT610 ms735 ms
Load time3.6 s11.7 s
Memory usage7.1 GB0.6 GB
Memory %45%2%
HW Fit Score Breakdown
gemma4:12b-mlx
Speed
50/50
TTFT
20/20
Memory
26/30
qwen/qwen3-vl-30b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
gemma4:12b-mlx
Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen/qwen3-vl-30b
Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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