qwen3:0.6b

qwen3 · 751.63M · Q4_K_M

THINKING MODEL

Microsoft WSL (AMD Ryzen 5 5500)

8 GB · Ubuntu 26.04.1 LTS

Tested on October 11, 2026

Top 57% Compare

Global Score

74 /100

Good

Hardware Fit

100/100

Quality

63/100

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Ollama

ollama pull qwen3:0.6b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: Microsoft WSL
CPU: AMD Ryzen 5 5500
Cores: 12 threads (6 cores)
RAM: 8 GB
GPU: Integrated / Unknown
OS: Ubuntu 26.04.1 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 249.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±9.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 80 ms
Time to first token How fast the model starts responding — lower is better: 659 ms
Load time Time to load the model into memory before inference: 6.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.9 GB (11%)
Total tokens Total number of tokens generated across all benchmark prompts: 1382
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~929

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

13/20

Coding

6/20

Instruction following

12/20

Structured output

13/15

Math

12/15

Multilingual

7/10

Category levels

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: 22f88ba55e9c494aa66a1ab8473c1c33670b1c47f9d32c4d6fb4359ab0d6c027

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 74/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Adequate.

Bench Environment

CPU load: avg 30% (peak 31%)

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