Qwen3.8-27B-UD-Q3_K_XL
OLLAMA GGUFllama · 27.3B · Q4_K
Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K
vicuna:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
90 vs 59
Hardware Fit
97 vs 84
Quality Score
87 vs 48
Hardware
Qwen3.8-27B-UD-Q3_… vicuna:13b
Machine—MacBook Air
CPUIntel Gen Intel® Core™ i5-12600KApple M4
Cores1610
RAM31 GB32 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
Qwen3.8-27B-UD-Q3_… vicuna:13b
Tokens/sec39.013.4
First chunk305 msN/A
TTFT305 ms438 ms
Load time0.0 s0.6 s
Memory usage12.5 GB10.3 GB
Memory %41%32%
HW Fit Score Breakdown
Qwen3.8-27B-UD-Q3_K_XL
Speed
50/50
TTFT
20/20
Memory
27/30
vicuna:13b
Speed
24/50
TTFT
30/20
Memory
30/30
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
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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