qwen/qwen3.6-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
76 vs 80
Hardware Fit
47 vs 95
Quality Score
89 vs 73
Hardware
qwen/qwen3.6-27b lfm2.5:8b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.6-27b lfm2.5:8b
Tokens/sec10.798.5
First chunk35 ms167 ms
TTFT885 ms2.5 s
Load time127.6 s3.0 s
Memory usage67.5 GB6.0 GB
Memory %56%37%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
9/50
TTFT
16/20
Memory
22/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
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
lfm2.5:8b
Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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