5 Counterintuitive LLM Facts Most Devs Get Wrong

Longer prompts aren't always better. Reasoning models aren't always smarter. Temperature=0 doesn't guarantee stable outputs. These common intuitions about LLMs are often flat-out wrong. This card set covers 5 real, verifiable counterintuitive facts — not opinions, but observable phenomena. For example, Claude Haiku 4.5 can outperform Opus 4.8 on simple classification tasks, and GPT-5.4-mini often delivers more stable throughput under high concurrency than the flagship GPT-5.5. Understanding these nuances helps you pick the right model, write better prompts, and actually control costs. Want to benchmark DeepSeek, Gemini 3, and Qwen 3 side by side? XycAi gives you one API to access 200+ models — start comparing now.