Back to leaderboard

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

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

adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
90 vs 77
Hardware Fit
97 vs 100
Quality Score
87 vs 67

Hardware

Qwen3.8-27B-UD-Q3_… adityakale/kotakneo
Machine—AZW GTR Pro
CPUIntel Gen Intel® Core™ i5-12600KAMD RYZEN AI MAX+ 395
Cores1632
RAM31 GB125 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Radeon 8060S
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modelow-powerlow-power

Performance

Qwen3.8-27B-UD-Q3_… adityakale/kotakneo
Tokens/sec39.081.2
First chunk305 ms183 ms
TTFT305 ms183 ms
Load time0.0 s2.5 s
Memory usage12.5 GB17.8 GB
Memory %41%14%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

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

adityakale/kotakneo

Speed
50/50
TTFT
20/20
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

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View Qwen3.8-27B-UD-Q3_… details | View adityakale/kotakneo 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