qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
gemma3n:latest
OLLAMA GGUFgemma3n · 6.9B · Q4_K_M
Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor
Global Score
80 vs 81
Hardware Fit
98 vs 100
Quality Score
72 vs 73
Hardware
qwen3-vl:30b gemma3n:latest
MachineASUSSupermicro AS -2015HS-TNR
CPUIntel Core™ Ultra 9 285KAMD EPYC 9654P 96-Core Processor
Cores2464
RAM47 GB128 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance
Performance
qwen3-vl:30b gemma3n:latest
Tokens/sec208.9108.7
First chunk102 ms333 ms
TTFT684 ms333 ms
Load time0.1 s4.5 s
Memory usage22.0 GB8.6 GB
Memory %47%7%
HW Fit Score Breakdown
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
gemma3n:latest
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
gemma3n:latest
Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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