gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
Global Score
76 vs 45
Hardware Fit
51 vs 67
Quality Score
87 vs 35
Hardware
gemma-3-27b-it-qat yi-coder-1.5b-chat
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
gemma-3-27b-it-qat yi-coder-1.5b-chat
Tokens/sec8.97.7
First chunk3976 ms2668 ms
TTFT4.0 s2.7 s
Load timeN/AN/A
Memory usage15.7 GB0.9 GB
Memory %25%6%
HW Fit Score Breakdown
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
Quality
gemma-3-27b-it-qat
Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
yi-coder-1.5b-chat
Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak 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