gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
76 vs 81
Hardware Fit
51 vs 89
Quality Score
87 vs 77
Hardware
gemma-3-27b-it-qat glm-4.7-flash:q4_K_M
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1420
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.4Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma-3-27b-it-qat glm-4.7-flash:q4_K_M
Tokens/sec8.935.1
First chunk3976 ms440 ms
TTFT4.0 s440 ms
Load timeN/A11.6 s
Memory usage15.7 GB18.4 GB
Memory %25%58%
HW Fit Score Breakdown
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
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
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong 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