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qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Excellent

Apr 23, 2026 · AMD RYZEN AI MAX+ 395

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
80 vs 36
Hardware Fit
60 vs 100
Quality Score
89 vs 8

Hardware

qwen3.6:27b qwen36-distill-apex
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M5 Max
Cores3218
RAM125 GB64 GB
GPURadeon 8060SApple M5 Max
OSUbuntu 24.04.4 LTSmacOS 27.0
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.6:27b qwen36-distill-apex
Tokens/sec11.255.2
First chunk429 ms210 ms
TTFT429 ms210 ms
Load time8.8 s4.8 s
Memory usage39.7 GB0.9 GB
Memory %32%2%

HW Fit Score Breakdown

qwen3.6:27b

Speed
10/50
TTFT
20/20
Memory
30/30

qwen36-distill-apex

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen3.6:27b

Reasoning
17/20
Coding
19/20
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

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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