qwen3:0.6b

qwen3 · 751.63M · Q4_K_M

THINKING MODEL ECO MODE

LENOVO 20L7CTO1WW (Intel Core™ i5-8350U)

23 GB · Fedora Linux 43

Tested on April 29, 2026

Top 69% Compare

Global Score

61 /100

Good

Hardware Fit

85/100

Quality

51/100

Get this model

🦙

Ollama

ollama pull qwen3:0.6b

View on Ollama Library

ollama.com/library/qwen3

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: LENOVO 20L7CTO1WW
CPU: Intel Core™ i5-8350U
Cores: 8 threads (4 cores)
Frequency: 1.7 GHz
RAM: 23 GB
GPU: Kaby Lake-R GT2 [UHD Graphics 620]
OS: Fedora Linux 43
Arch: x64
Power Mode: low-power

Performance

Tokens/sec Tokens generated per second — higher is better: 27.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 597 ms
Time to first token How fast the model starts responding — lower is better: 8.7 s
Load time Time to load the model into memory before inference: 1.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.9 GB (4%)
Total tokens Total number of tokens generated across all benchmark prompts: 1429
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~974

Score breakdown

Speed

50/50

Time to first token

5/20

Memory

30/30

Quality

Reasoning

14/20

Coding

0/20

Instruction following

9/20

Structured output

12/15

Math

9/15

Multilingual

7/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.21.2
Model format: GGUF
Hardware profile: ENTRY
Result hash: 5df98dbe0ca5fa1eb986a5d51c6c78f878800eb34a8925426eab48b1ce5b2376

Interpretation

Hardware fit: 85/100. Overall suitability: GOOD (Global 61/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Weak, Structured Output: Strong, Math: Adequate, Multilingual: Adequate.

Warnings

System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal Power: AC CPU load: avg 77% (peak 82%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest