google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
Global Score
83 vs 83
Hardware Fit
96 vs 100
Quality Score
78 vs 75
Hardware
google/gemma-4-e4b qwen3:8b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMicro-Star International Co., Ltd. Stealth GS77 12UH
CPUAMD Ryzen 9 8940HXIntel Gen Intel® Core™ i9-12900H
Cores3220
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPU
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Home 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3:8b
Tokens/sec35.954.0
First chunk9 ms68 ms
TTFT182 ms68 ms
Load timeN/A6.1 s
Memory usage6.5 GB5.8 GB
Memory %43%18%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
qwen3:8b
Speed
50/50
TTFT
20/20
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
15/20
Coding
15/20
Instruction
15/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest