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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
71 vs 68
Hardware Fit
56 vs 93
Quality Score
78 vs 57

Hardware

qwen3.5:9b google/gemma-4-e4b
MachineSystem manufacturerLENOVO 82JQ
CPUAMD Ryzen 5 5500AMD Ryzen 7 5800H
Cores1216
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b google/gemma-4-e4b
Tokens/sec5.326.2
First chunk1624 ms17 ms
TTFT1.6 s572 ms
Load time4.0 sN/A
Memory usage7.9 GB6.5 GB
Memory %50%41%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

google/gemma-4-e4b

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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 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