qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jun 18, 2026 · AMD Ryzen 5 5500U
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
82 vs 81
Hardware Fit
71 vs 90
Quality Score
87 vs 77
Hardware
qwen3-coder:30b gemma-4-e2b-it-qat
MachineHP HP Pavilion Laptop 15-eh1xxxDocker Container
CPUAMD Ryzen 5 5500UIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM63 GB15 GB
GPUAMD Radeon(TM) GraphicsTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 10 Enterprise LTSC 10.0.19044Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance
Performance
qwen3-coder:30b gemma-4-e2b-it-qat
Tokens/sec14.322.2
First chunk869 ms67 ms
TTFT869 ms1.1 s
Load time0.3 s5.4 s
Memory usage20.5 GB0.0 GB
Memory %32%0%
HW Fit Score Breakdown
qwen3-coder:30b
Speed
22/50
TTFT
20/20
Memory
29/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
qwen3-coder:30b
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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