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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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
90 vs 68
Hardware Fit
97 vs 93
Quality Score
87 vs 57

Hardware

Qwen3.8-27B-UD-Q3_… google/gemma-4-e4b
Machine—LENOVO 82JQ
CPUIntel Gen Intel® Core™ i5-12600KAMD Ryzen 7 5800H
Cores1616
RAM31 GB16 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modelow-powerbalanced

Performance

Qwen3.8-27B-UD-Q3_… google/gemma-4-e4b
Tokens/sec39.026.2
First chunk305 ms17 ms
TTFT305 ms572 ms
Load time0.0 sN/A
Memory usage12.5 GB6.5 GB
Memory %41%41%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View Qwen3.8-27B-UD-Q3_… details | View google/gemma-4-e4b 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