DSAgentBench (Screenshot + A11y Tree): leaderboard

DSAgentBench (2026) evaluates end-to-end data-science workflows in a real OSWorld desktop across 275 tasks. Artifact checks verify execution and required outputs; about 10% of tasks also use visual judging after those checks. GPT-4o judges outputs from other models and Gemini 2.5 Pro judges GPT-4o outputs. Task success rate under screenshot plus accessibility-tree observation, in percent; higher is better.

Metric: Task success rate (%; percentage of 275 end-to-end data-science tasks (data acquisition, exploration, feature engineering, modeling, visualization, evaluation) whose final artifacts pass a deterministic Python evaluator (score >= 0.95), run in a real OSWorld desktop with VS Code, Jupyter and a terminal; temperature 0.1, 15-step budget; screenshot plus accessibility-tree observation). Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.656.7#158
2GPT-529.81#163
3GPT-4o24.54#741
4Gemini 2.5 Pro20.81#262
5GPT-5 Mini19.03#349
6Claude Sonnet 4.59.21#244
7Claude Sonnet 44.64#397
8O4 Mini2.55#354

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=dsagentbench-screenshot-plus-a11y-tree · How It Works · Data refreshed daily, snapshot 2026-11-12.