Qwen3.8-27B-UD-Q3_K_XL
OLLAMA GGUFllama · 27.3B · Q4_K
Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
90 vs 69
Hardware Fit
97 vs 95
Quality Score
87 vs 58
Hardware
Qwen3.8-27B-UD-Q3_… ornith-1.5:9b
Machine—MacBook Pro
CPUIntel Gen Intel® Core™ i5-12600KApple M1 Pro
Cores1610
RAM31 GB16 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 26.6.2
Archx64arm64
Power Modelow-powerbalanced
Performance
Qwen3.8-27B-UD-Q3_… ornith-1.5:9b
Tokens/sec39.022.2
First chunk305 ms341 ms
TTFT305 ms341 ms
Load time0.0 s4.8 s
Memory usage12.5 GB7.1 GB
Memory %41%45%
HW Fit Score Breakdown
Qwen3.8-27B-UD-Q3_K_XL
Speed
50/50
TTFT
20/20
Memory
27/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
Qwen3.8-27B-UD-Q3_K_XL
Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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