qwen3-vl:30b
qwen3vlmoe · 31.1B · Q4_K_M
THINKING MODEL
ASUS (Intel Core™ Ultra 9 285K)
47 GB · Microsoft Windows 11 Pro 10.0.26200
Tested on March 5, 2026 · Submitted by abayaz61
Global Score
80 /100
Excellent
Hardware Fit
98/100
Quality
72/100
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Hardware
- Machine
- ASUS
- CPU
- Intel Core™ Ultra 9 285K
- Cores
- 24 total (24 perf)
- Frequency
- 3.7 GHz
- RAM
- 47 GB DDR5
- GPU
- NVIDIA GeForce RTX 5090, Intel(R) Graphics
- OS
- Microsoft Windows 11 Pro 10.0.26200
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 208.9
- Standard deviation
- ±2.5
- First chunk latency
- 102 ms
- Time to first token
- 684 ms
- Load time
- 0.1 s
- Memory usage
- 22.0 GB (47%)
- Total tokens
- 1290
- Thinking tokens (est.)
- ~746
Score breakdown
Speed
50/50
Time to first token
20/20
Memory
28/30
Quality
Reasoning
14/20
Coding
6/20
Instruction following
17/20
Structured output
12/15
Math
13/15
Multilingual
10/10
Category levels
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.17.6
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 27e28cb6e53bd01b2b0eb2f37e3d856279ab3c092f3b85ca77671facf99a4d55
Interpretation
Hardware fit: 98/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Bench Environment
Thermal: nominal CPU load: avg 12% (peak 17%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest