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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
36 vs 81
Hardware Fit
100 vs 68
Quality Score
8 vs 87

Hardware

qwen36-distill-apex qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M4 Max
Cores1816
RAM64 GB128 GB
GPUApple M5 MaxApple M4 Max
OSmacOS 27.0macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex qwen/qwen3.8-27b
Tokens/sec55.216.4
First chunk210 ms5 ms
TTFT210 ms742 ms
Load time4.8 sN/A
Memory usage0.9 GB38.5 GB
Memory %2%30%

HW Fit Score Breakdown

qwen36-distill-apex

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

qwen/qwen3.8-27b

Speed
18/50
TTFT
20/20
Memory
30/30

Quality

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

qwen/qwen3.8-27b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen36-distill-apex details | View qwen/qwen3.8-27b 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