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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 19, 2026 · Apple M4

Global Score
90 vs 66
Hardware Fit
97 vs 34
Quality Score
87 vs 79

Hardware

Qwen3.8-27B-UD-Q3_… qwen3.5:27b
Machine—Mac mini
CPUIntel Gen Intel® Core™ i5-12600KApple M4
Cores1610
RAM31 GB24 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_… qwen3.5:27b
Tokens/sec39.03.8
First chunk305 ms1637 ms
TTFT305 ms1.6 s
Load time0.0 s17.0 s
Memory usage12.5 GB21.3 GB
Memory %41%89%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

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

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
8/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
View Qwen3.8-27B-UD-Q3_… details | View qwen3.5:27b details

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