BenchTrace is a new benchmark designed to evaluate the self-evolution capabilities of large language models (LLMs) by assessing their reflection on past failures and their ability to avoid repeating them. Initial experiments show that leading models like Qwen3-32B and GPT-4.1 struggle with reflection quality, indicating challenges in current self-evolution methods.