qwen3:0.6b

qwen3 · 751.63M · Q4_K_M

THINKING MODEL

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 13% Compare

Global Score

77 /100

Good

Hardware Fit

100/100

Quality

62/100

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Ollama

ollama pull qwen3:0.6b

View on Ollama Library

ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 145.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.4
Time to first token How fast the model starts responding — lower is better: 1.4 s
Load time Time to load the model into memory before inference: 0.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.1 GB (13%)
Total tokens Total number of tokens generated across all benchmark prompts: 1427
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~909

Score breakdown

Speed

40/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

14/20

Coding

3/20

Instruction following

11/20

Structured output

13/15

Math

13/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 75479308a22465986f2ebfc9eba342b6037f0f8f4d6252a2fa5e84ac547ab8ee

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 77/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

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npx metrillm@latest bench

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