## Bar Chart: Gain vs Best Baseline
### Overview
The image is a bar chart comparing the performance of different language models (Llama 3.2, GPT-5-nano, GPT-OSS) and a self-debug extension across three benchmarks: MATH-500, OlympiadBench, and AIME (24-25). The chart displays the gain versus the best baseline in percentage.
### Components/Axes
* **Y-axis:** "Gain vs Best Baseline (%)" with a scale from -5.0 to 15.0, incrementing by 2.5.
* **X-axis:** Categorical axis representing the benchmarks: MATH-500, OlympiadBench, and AIME (24-25).
* **Legend (Top-Left):**
* Blue: Llama 3.2 (90B)
* Orange: GPT-5-nano
* Green: GPT-OSS (20B)
* Gray: SymCode gain (Note: No data for this is shown on the chart)
* Orange Line with circles: Self-debug extension
### Detailed Analysis
**MATH-500:**
* Llama 3.2 (90B) - No bar shown.
* GPT-5-nano (Orange): -2.0%
* GPT-OSS (20B) (Green): 2.0%
* Self-debug extension (Orange Line): 4.4% (Value above the line: 4.4)
**OlympiadBench:**
* Llama 3.2 (90B) (Blue): 0.0%
* GPT-5-nano (Orange): 8.8%
* GPT-OSS (20B) (Green): 10.4%
* Self-debug extension (Orange Line): 12.0% (Value above the line: 3.2)
**AIME (24-25):**
* Llama 3.2 (90B) (Blue): 1.7%
* GPT-5-nano (Orange): 10.0%
* GPT-OSS (20B) (Green): 6.7%
* Self-debug extension (Orange Line): 13.3% (Value above the line: 3.3)
### Key Observations
* GPT-5-nano and GPT-OSS consistently outperform Llama 3.2 across all benchmarks.
* The self-debug extension consistently improves performance, as indicated by the values above the orange line.
* Llama 3.2 performs negatively on the MATH-500 benchmark.
### Interpretation
The chart illustrates the relative performance of different language models on mathematical and reasoning tasks. GPT-5-nano and GPT-OSS show a clear advantage over Llama 3.2 in these benchmarks. The self-debug extension consistently enhances the performance of the models, suggesting its effectiveness in improving problem-solving capabilities. The negative performance of Llama 3.2 on MATH-500 indicates a potential weakness in handling certain types of mathematical problems.
