qwen/qwen3.6-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
gemma2:9b
OLLAMA GGUFgemma2 · 9.2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
76 vs 76
Hardware Fit
47 vs 89
Quality Score
89 vs 71
Hardware
qwen/qwen3.6-27b gemma2:9b
MachineGMKtec EVO-X3MacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.6-27b gemma2:9b
Tokens/sec10.717.5
First chunk35 msN/A
TTFT885 ms347 ms
Load time127.6 s0.8 s
Memory usage67.5 GB8.2 GB
Memory %56%26%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
9/50
TTFT
16/20
Memory
22/30
gemma2:9b
Speed
29/50
TTFT
30/20
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
gemma2:9b
Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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