# Technical Data Extraction: Resolved by Turn Histograms This document contains a detailed extraction of data from two side-by-side histograms comparing the performance of two AI models (GPT-4 and Claude 3 Opus) in terms of how many "turns" it takes to resolve a task. ## 1. General Metadata * **Image Type:** Comparative Histograms (Frequency Distributions). * **Primary Language:** English. * **Visual Style:** Blue bars with black outlines on a white background. * **Common Y-Axis Label:** Count (Frequency of occurrences). * **Common X-Axis Label:** Turn (The number of interactions/steps taken). --- ## 2. Component Analysis: Left Chart (GPT-4) ### Header Information * **Title:** Resolved by Turn (GPT 4, Full) ### Axis Scales * **Y-Axis (Count):** Ranges from 0 to 60, with major tick marks every 10 units (0, 10, 20, 30, 40, 50, 60). * **X-Axis (Turn):** Ranges from approximately 4 to 40, with major tick marks every 5 units (5, 10, 15, 20, 25, 30, 35, 40). ### Data Distribution & Trends * **Trend Description:** The distribution is unimodal and right-skewed. There is a significant peak (mode) between turns 8 and 13, followed by a steady decline with a small secondary bump around turn 18-20. The data trails off significantly after turn 35. * **Estimated Data Points (Bin Counts):** * **Turns 4-6:** ~24 * **Turns 6-8:** ~27 * **Turns 8-11 (Peak):** ~59 * **Turns 11-13:** ~55 * **Turns 13-15:** ~23 * **Turns 15-18:** ~20 * **Turns 18-20:** ~26 * **Turns 20-23:** ~8 * **Turns 23-25:** ~3 * **Turns 25-28:** ~9 * **Turns 28-30:** ~7 * **Turns 30-32:** ~5 * **Turns 32-34:** ~13 * **Turns 34-37:** ~3 * **Turns 37-40:** ~4 --- ## 3. Component Analysis: Right Chart (Claude 3 Opus) ### Header Information * **Title:** Resolved by Turn (Claude 3 Opus, Full) ### Axis Scales * **Y-Axis (Count):** Ranges from 0 to 30+, with major tick marks every 5 units (0, 5, 10, 15, 20, 25, 30). Note: The highest bar exceeds the 30 mark. * **X-Axis (Turn):** Ranges from approximately 4 to 26, with major tick marks every 5 units (5, 10, 15, 20, 25). ### Data Distribution & Trends * **Trend Description:** The distribution is multimodal and more compressed than the GPT-4 chart. It shows three distinct peaks: a primary peak around turn 10-11, a secondary peak at turn 14, and a tertiary peak at turn 16-17. The resolution process for this model appears to conclude much earlier (by turn 26) compared to GPT-4 (which goes to turn 40). * **Estimated Data Points (Bin Counts):** * **Turns 4-5:** ~3 * **Turns 6-7:** ~3 * **Turns 7-8:** ~12 * **Turns 8-10:** ~16 * **Turns 10-11 (Highest Peak):** ~32 * **Turns 11-13:** ~8 * **Turns 13-14 (Secondary Peak):** ~29 * **Turns 14-16:** ~9 * **Turns 16-17 (Tertiary Peak):** ~27 * **Turns 17-19:** ~7 * **Turns 19-20:** ~12 * **Turns 20-22:** ~9 * **Turns 22-23:** ~17 * **Turns 23-25:** ~7 * **Turns 25-26:** ~1 --- ## 4. Comparative Summary | Feature | GPT-4 (Full) | Claude 3 Opus (Full) | | :--- | :--- | :--- | | **Max Turn Count** | ~40 Turns | ~26 Turns | | **Highest Frequency** | ~59 (at Turn 10) | ~32 (at Turn 10) | | **Distribution Shape** | Single dominant peak, long tail. | Multiple distinct peaks, shorter range. | | **Efficiency Indicator** | Resolves most tasks by turn 15, but has many outliers. | Resolves tasks in a tighter window, finishing all by turn 26. |