qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
84 vs 83
Hardware Fit
97 vs 96
Quality Score
79 vs 78
Hardware
qwen3:8b google/gemma-4-e4b
MachineASUSASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ Ultra 9 285KAMD Ryzen 9 8940HX
Cores2432
RAM47 GB15 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3:8b google/gemma-4-e4b
Tokens/sec208.035.9
First chunk82 ms9 ms
TTFT1.3 s182 ms
Load time1.5 sN/A
Memory usage9.6 GB6.5 GB
Memory %20%43%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
google/gemma-4-e4b
Speed
49/50
TTFT
20/20
Memory
27/30
Quality
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
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
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