Least sycophantic modern open LLM?

The user is seeking a modern open-weights LLM that exhibits the least sycophancy, as outdated models like Kimi K2 and GPT OSS 120b are no longer suitable. This requirement stems from the need for a model that can provide unbiased assistance for creative and research tasks, avoiding the pitfalls of sycophancy that have previously led to flawed ideas. Additionally, the user requires a less sycophantic model for agentic coding to improve bug detection.

This discussion uniquely focuses on sycophancy as a critical performance metric for open-weights LLMs, unlike typical evaluations centered on benchmarks or parameter counts.