## Bar Chart: Task Success Rate by Model
### Overview
The image is a bar chart comparing the task success rates of four different coding models (Cursor, Codex, Claude Code, and OpenCode) across four different model versions (Opus 4.5, Sonnet 4.5, GLM 4.6, and GPT 5.1). The y-axis represents the task success rate in percentage, ranging from 0% to 16%. The x-axis represents the model versions.
### Components/Axes
* **X-axis:** Model (Opus 4.5, Sonnet 4.5, GLM 4.6, GPT 5.1)
* **Y-axis:** Task Success Rate (%) - Scale from 0 to 16, with tick marks at every increment of 2.
* **Legend (Top-Right):**
* Red: Cursor
* Blue: Codex
* Green: Claude Code
* Orange: OpenCode
### Detailed Analysis
Here's a breakdown of the task success rates for each model version:
* **Opus 4.5:**
* Cursor (Red): 12%
* Codex (Blue): 4%
* Claude Code (Green): 8%
* OpenCode (Orange): 2%
* **Sonnet 4.5:**
* Cursor (Red): 12%
* Codex (Blue): 10%
* Claude Code (Green): 10%
* OpenCode (Orange): 4%
* **GLM 4.6:**
* Cursor (Red): N/A
* Codex (Blue): 12%
* Claude Code (Green): 10%
* OpenCode (Orange): 8%
* **GPT 5.1:**
* Cursor (Red): 2%
* Codex (Blue): N/A
* Claude Code (Green): N/A
* OpenCode (Orange): 6%
### Key Observations
* Cursor performs best on Opus 4.5 and Sonnet 4.5, with a task success rate of 12% in both cases.
* Codex achieves its highest task success rate (12%) on GLM 4.6.
* Claude Code shows relatively consistent performance across Opus 4.5, Sonnet 4.5, and GLM 4.6 (8%, 10%, and 10% respectively).
* OpenCode has the lowest task success rate on Opus 4.5 (2%) and peaks at 8% on GLM 4.6.
* Data is missing for Cursor on GLM 4.6, Codex and Claude Code on GPT 5.1.
### Interpretation
The bar chart provides a comparative analysis of the task success rates of four different coding models across four different model versions. The data suggests that the performance of each coding model varies depending on the model version used. For example, Cursor performs well on Opus 4.5 and Sonnet 4.5, but its performance drops significantly on GPT 5.1. Similarly, Codex achieves its highest task success rate on GLM 4.6. The missing data points for certain models on specific versions indicate that those models may not be compatible with those versions or that the data was not available for those combinations. Overall, the chart highlights the importance of selecting the appropriate coding model and model version to achieve optimal task success rates.
