Testing Qwen 3 Small Models: 0.6B, 1.7B & 4B (Surprising Results!)

Following up on last week's analysis of Qwen 3's larger models, I'm now putting their smaller models to the test - and comparing them against Gemma 3! Watch as these tiny models tackle complex tasks that would have been impossible for models this size just months ago. What I Tested: Three Qwen 3 models: 0.6B, 1.7B, and 4B Performance across multiple challenging tasks Head-to-head comparison with Gemma 3 models Key Findings: The 4B model achieved an impressive 70% on Harmful Question Detection The 1.7B and 4B models both scored 75% on SQL Query Generation Qwen 3's 4B model outperformed Gemma 3's 12B model on multiple tasks Even the tiny 0.6B model showed remarkable capabilities These results demonstrate how quickly the field is advancing - models small enough to run on edge devices are now handling complex reasoning tasks that stumped much larger models less than a year ago. What are your thoughts on these small but mighty models? Share in the comments below! #AI #MachineLearning #Qwen3 #EdgeComputing #SmallLanguageModels #AITesting #Gemma3 #AIComparison