qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
20 vs 81
Hardware Fit
34 vs 90
Quality Score
14 vs 77
Hardware
qwen3.6:27b gemma-4-e2b-it-qat
MachineMac miniDocker Container
CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM24 GB15 GB
GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.6:27b gemma-4-e2b-it-qat
Tokens/sec10.622.2
First chunk1344 ms67 ms
TTFT30.0 s1.1 s
Load time0.2 s5.4 s
Memory usage18.1 GB0.0 GB
Memory %75%0%
HW Fit Score Breakdown
qwen3.6:27b
Speed
22/50
TTFT
0/20
Memory
12/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
qwen3.6:27b
Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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