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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

gemma3:12b

OLLAMA GGUF

gemma3 · 12.2B · Q4_K_M

Excellent

Mar 2, 2026 · Apple M4

Global Score
76 vs 80
Hardware Fit
47 vs 83
Quality Score
89 vs 78

Hardware

qwen/qwen3.6-27b gemma3:12b
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 gemma3:12b
Tokens/sec10.712.7
First chunk35 msN/A
TTFT885 ms560 ms
Load time127.6 s2.8 s
Memory usage67.5 GB11.0 GB
Memory %56%34%

HW Fit Score Breakdown

qwen/qwen3.6-27b

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

gemma3:12b

Speed
23/50
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

gemma3:12b

Reasoning
14/20
Coding
19/20
Instruction
13/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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