AppWorld-UL (Code Agent) - Scenario Goal Completion: leaderboard
Metric: Interactive scenario goal completion (%; share of task scenarios in which the agent completes every task variant under the same interaction checks; ReAct code agent that writes Python against the AppWorld app APIs; GPT-5.5 user simulator answering from a fixed knowledge set). Source: arxiv.org. Saturation forecast: Around April 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 30.2 |
| 2 | GPT-5.5 (Medium) | 23.5 |
| 3 | Qwen 3.7 Max | 22.9 |
| 4 | GLM-5.1 | 21.2 |
| 5 | Kimi K2.6 | 12.5 |
| 6 | DeepSeek V4 Pro | 7.3 |
Interactive version: theaggregate.ai/benchmark?slug=appworld-ul-code-agent-scenario-goal-completion · How It Works · Data refreshed daily, snapshot 2026-09-29.