This blog post aims to evaluate how well the most capable open-source long context large language models (LLMs) utilize context, using the Needle In A Haystack test. We adopt the task of chapter summarization for recently published books to minimize data contamination while ensuring a challenging test. Our results show that open-source models still have room to improve in context utilization compared to close-source models..