qwen/qwen3.6-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
Global Score
76 vs 82
Hardware Fit
47 vs 92
Quality Score
89 vs 78
Hardware
qwen/qwen3.6-27b qwen2.5-7b-instruct
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 qwen2.5-7b-instruct
Tokens/sec10.722.0
First chunk35 ms477 ms
TTFT885 ms477 ms
Load time127.6 sN/A
Memory usage67.5 GB4.0 GB
Memory %56%13%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
9/50
TTFT
16/20
Memory
22/30
qwen2.5-7b-instruct
Speed
43/50
TTFT
20/20
Memory
29/30
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
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
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