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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
83 vs 71
Hardware Fit
96 vs 56
Quality Score
78 vs 78

Hardware

google/gemma-4-e4b qwen3.5:9b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHSystem manufacturer
CPUAMD Ryzen 9 8940HXAMD Ryzen 5 5500
Cores3212
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 3060
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:9b
Tokens/sec35.95.3
First chunk9 ms1624 ms
TTFT182 ms1.6 s
Load timeN/A4.0 s
Memory usage6.5 GB7.9 GB
Memory %43%50%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

qwen3.5:9b

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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
View google/gemma-4-e4b details | View qwen3.5:9b 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