diff --git a/README.md b/README.md
index 6fa568ce..1c12008b 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ R&D-Agent currently leads as the top-performing machine learning engineering age
 | AIDE o1-preview | 34.3 ± 2.4 | 8.8 ± 1.1 | 10.0 ± 1.9 | 16.9 ± 1.1 |
 
 **Notes:**
-- **o3(R)+GPT-4.1(D)**: Combines Research Agent (o3) and Development Agent (GPT-4.1).
+- **o3(R)+GPT-4.1(D)**: o3(R)+GPT-4.1(D): This version is designed to both reduce average time per loop and leverage a cost-effective combination of backend LLMs by seamlessly integrating Research Agent (o3) with Development Agent (GPT-4.1).
 - **AIDE o1-preview**: Represents the previously best public result on MLE-bench as reported in the original MLE-bench paper.
 - Average and standard deviation results for R&D-Agent o1-preview is based on a independent of 5 seeds and for R&D-Agent o3(R)+GPT-4.1(D) is based on 6 seeds.
 - According to MLE-Bench, the 75 competitions are categorized into three levels of complexity: **Low==Lite** if we estimate that an experienced ML engineer can produce a sensible solution in under 2 hours, excluding the time taken to train any models; **Medium** if it takes between 2 and 10 hours; and **High** if it takes more than 10 hours.