qwen3.8:27b-q8_0
OLLAMA GGUFqwen35 · 27.3B · Q8_0
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Aug 23, 2026 · Apple M1 Pro
Global Score
89 vs 69
Hardware Fit
88 vs 86
Quality Score
89 vs 62
Hardware
qwen3.8:27b-q8_0 qwen3.5:4b
MachineDell Inc. PowerEdge XE8545MacBook Pro
CPUAMD EPYC 7713 64-Core ProcessorApple M1 Pro
Cores12810
RAM1007 GB16 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M1 Pro
OSRocky Linux 8.10macOS 26.6.2
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-q8_0 qwen3.5:4b
Tokens/sec39.936.7
First chunk192 ms207 ms
TTFT192 ms6.6 s
Load time19.0 s3.0 s
Memory usage51.0 GB5.3 GB
Memory %5%33%
HW Fit Score Breakdown
qwen3.8:27b-q8_0
Speed
38/50
TTFT
20/20
Memory
30/30
qwen3.5:4b
Speed
50/50
TTFT
7/20
Memory
29/30
Quality
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
qwen3.5:4b
Reasoning
16/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong 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