qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
qwen3.8:27b-q8_0
OLLAMA GGUFqwen35 · 27.3B · Q8_0
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
84 vs 89
Hardware Fit
69 vs 88
Quality Score
90 vs 89
Hardware
qwen/qwen3.8-27b qwen3.8:27b-q8_0
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M4 MaxAMD EPYC 7713 64-Core Processor
Cores16128
RAM128 GB1007 GB
GPUApple M4 MaxGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.5.2Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown
Performance
qwen/qwen3.8-27b qwen3.8:27b-q8_0
Tokens/sec28.939.9
First chunk33 ms192 ms
TTFT4.4 s192 ms
Load time7.9 s19.0 s
Memory usage0.0 GB51.0 GB
Memory %0%5%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
Memory
30/30
qwen3.8:27b-q8_0
Speed
38/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8:27b-q8_0
Reasoning
18/20
Coding
19/20
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest