I've had problems solved incorrectly and edge cases missed by Sonnet and by other LLMs (ChatGPT, Gemini) and the other way around too. Once they saw the other

I've had problems solved incorrectly and edge cases missed by Sonnet and by other LLMs (ChatGPT, Gemini) and the other way around too. Once they saw the other model's answer, they admitted their "critical mistake". It's all about how much of your prompt/problem/context falls outside the model's training distribution.