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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

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
76 vs 81
Hardware Fit
47 vs 82
Quality Score
89 vs 81

Hardware

qwen/qwen3.6-27b gemma4:12b-mlx
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M2 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M2 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.6-27b gemma4:12b-mlx
Tokens/sec10.725.3
First chunk35 ms761 ms
TTFT885 ms7.7 s
Load time127.6 s3.6 s
Memory usage67.5 GB7.1 GB
Memory %56%44%

HW Fit Score Breakdown

qwen/qwen3.6-27b

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

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

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

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3.6-27b details | View gemma4:12b-mlx details

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