qwen/qwen3.6-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
Global Score
76 vs 80
Hardware Fit
47 vs 83
Quality Score
89 vs 79
Hardware
qwen/qwen3.6-27b google/gemma-4-e4b
MachineGMKtec EVO-X3GMKtec EVO-X3
CPUAMD RYZEN AI MAX+ 395AMD RYZEN AI MAX+ 395
Cores3232
RAM120 GB120 GB
GPUAMD Radeon(TM) 8060S GraphicsAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced
Performance
qwen/qwen3.6-27b google/gemma-4-e4b
Tokens/sec10.746.5
First chunk35 ms14 ms
TTFT885 ms1.9 s
Load time127.6 s7.6 s
Memory usage67.5 GB0.0 GB
Memory %56%0%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
9/50
TTFT
16/20
Memory
22/30
google/gemma-4-e4b
Speed
43/50
TTFT
10/20
Memory
30/30
Quality
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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