google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
71 vs 40
Hardware Fit
35 vs 89
Quality Score
86 vs 19
Hardware
google/gemma-3-27b qwen3-0.6b
MachineMac miniLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM24 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
google/gemma-3-27b qwen3-0.6b
Tokens/sec5.914.4
First chunk19 ms854 ms
TTFT1.8 s854 ms
Load timeN/AN/A
Memory usage22.0 GB0.5 GB
Memory %92%3%
HW Fit Score Breakdown
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
Quality
google/gemma-3-27b
Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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