qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Aug 22, 2026 · Apple M1 Pro
Global Score
40 vs 90
Hardware Fit
89 vs 87
Quality Score
19 vs 91
Hardware
qwen3-0.6b gemma4:e4b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-0.6b gemma4:e4b
Tokens/sec14.435.7
First chunk854 ms661 ms
TTFT854 ms6.5 s
Load timeN/A6.1 s
Memory usage0.5 GB3.1 GB
Memory %3%19%
HW Fit Score Breakdown
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
gemma4:e4b
Speed
50/50
TTFT
7/20
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
gemma4:e4b
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
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