It’s a bit misleading.

Qwen 27B has way less “world knowledge” than GPT-5. Ask it random trivia without internet search access, and GPT would know waaay more.

This is generally true of small vs large models.

…But honestly, Qwen 27B is better at tool use or agentic stuff. It’s hyper optimized for just that and coding assistance, basically.

This is often true of old vs new. Most newer models have hyper focused on agents/coding, often to the detriment of other use cases.

Quantization for practically running Qwen 27V also has an impact. A off-the-shelf Q4_K_M is not the same as the unquantized weights in real-world use, or even an “optimized” quantization like a custom exl3.