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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
81 vs 66
Hardware Fit
68 vs 100
Quality Score
87 vs 52

Hardware

qwen/qwen3.8-27b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.8-27b hf.co/empero-ai/Qw…
Tokens/sec16.426.5
First chunk5 ms447 ms
TTFT742 ms447 ms
Load timeN/A3.3 s
Memory usage38.5 GB4.8 GB
Memory %30%30%

HW Fit Score Breakdown

qwen/qwen3.8-27b

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

hf.co/empero-ai/Qwen3.8…

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

Quality

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

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong 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