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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
86 vs 68
Hardware Fit
100 vs 93
Quality Score
80 vs 57

Hardware

qwen3.5:9b-q8_0 google/gemma-4-e4b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4LENOVO 82JQ
CPUIntel Core™ i5-14400FAMD Ryzen 7 5800H
Cores1616
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Professionnel 10.0.26200Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 google/gemma-4-e4b
Tokens/sec37.726.2
First chunk120 ms17 ms
TTFT120 ms572 ms
Load time8.3 sN/A
Memory usage8.4 GB6.5 GB
Memory %26%41%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

google/gemma-4-e4b

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

Quality

qwen3.5:9b-q8_0

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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 qwen3.5:9b-q8_0 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