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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

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Good

Aug 15, 2026 · AMD Ryzen 9 3900X 12-Core Processor

Global Score
83 vs 78
Hardware Fit
96 vs 86
Quality Score
78 vs 74

Hardware

google/gemma-4-e4b qwen3:8b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH—
CPUAMD Ryzen 9 8940HXAMD Ryzen 9 3900X 12-Core Processor
Cores3224
RAM15 GB64 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 4060 Ti
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3:8b
Tokens/sec35.948.5
First chunk9 ms202 ms
TTFT182 ms4.3 s
Load timeN/A4.2 s
Memory usage6.5 GB5.5 GB
Memory %43%9%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3:8b

Speed
50/50
TTFT
6/20
Memory
30/30

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

qwen3:8b

Reasoning
16/20
Coding
8/20
Instruction
14/20
Structured
14/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3:8b 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