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qwen/qwen3.6-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Mar 11, 2026 · Apple M4

Global Score
76 vs 83
Hardware Fit
47 vs 73
Quality Score
89 vs 87

Hardware

qwen/qwen3.6-27b qwen3:14b
MachineGMKtec EVO-X3Mac mini
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB24 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.6-27b qwen3:14b
Tokens/sec10.711.1
First chunk35 ms500 ms
TTFT885 ms500 ms
Load time127.6 s7.3 s
Memory usage67.5 GB9.4 GB
Memory %56%39%

HW Fit Score Breakdown

qwen/qwen3.6-27b

Speed
9/50
TTFT
16/20
Memory
22/30

qwen3:14b

Speed
25/50
TTFT
20/20
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

qwen3:14b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest