qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Apple M4
Global Score
40 vs 48
Hardware Fit
89 vs 77
Quality Score
19 vs 35
Hardware
qwen3-0.6b qwen3.5:4b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-0.6b qwen3.5:4b
Tokens/sec14.418.9
First chunk854 ms316 ms
TTFT854 ms13.0 s
Load timeN/A3.7 s
Memory usage0.5 GB5.9 GB
Memory %3%37%
HW Fit Score Breakdown
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
qwen3.5:4b
Speed
43/50
TTFT
4/20
Memory
30/30
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
qwen3.5:4b
Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor 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