qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
40 vs 91
Hardware Fit
89 vs 96
Quality Score
19 vs 89
Hardware
qwen3-0.6b gemma4:12b-mlx
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M2 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M2 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-0.6b gemma4:12b-mlx
Tokens/sec14.424.7
First chunk854 ms610 ms
TTFT854 ms610 ms
Load timeN/A3.6 s
Memory usage0.5 GB7.1 GB
Memory %3%45%
HW Fit Score Breakdown
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
gemma4:12b-mlx
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
qwen3-0.6b
Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
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
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