qwen3.8:latest
qwen35 · 27.3B · Q4_K_M
THINKING MODEL
System manufacturer (AMD Ryzen 9 5950X 16-Core Processor)
32 GB · Microsoft Windows 11 Pro 10.0.26300
Tested on October 2, 2026 · Submitted by Qwen3.8vsGemma4
Global Score
68 /100
Good
Hardware Fit
22/100
Quality
88/100
Get this model
Hardware
- Machine
- System manufacturer
- CPU
- AMD Ryzen 9 5950X 16-Core Processor
- Cores
- 32 total (32 perf)
- Frequency
- 3.4 GHz
- RAM
- 32 GB DDR4
- GPU
- NVIDIA GeForce RTX 3090
- OS
- Microsoft Windows 11 Pro 10.0.26300
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 10.0
- Standard deviation
- ±0.3
- First chunk latency
- 1.0 s
- Time to first token
- 14.3 s
- Load time
- 22.3 s
- Memory usage
- 26.2 GB (82%)
- Total tokens
- 1410
- Thinking tokens (est.)
- ~511
Score breakdown
Speed
12/50
Time to first token
1/20
Memory
9/30
Quality
Reasoning
19/20
Coding
19/20
Instruction following
10/20
Structured output
15/15
Math
15/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.35.0
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 37bef8a97d6cf5b911b4961e3d23b234e264caeac80d0d39aa660befd23bbbaa
Interpretation
Hardware fit: 22/100. Overall suitability: GOOD (Global 68/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Bench Environment
Swap delta:
+0.0 GB
CPU load: avg 47% (peak 59%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest