AppWorld-UL (Code Agent) - Compositional Tasks: leaderboard
Metric: Interactive task goal completion (%; share of 210 tasks combining two or three interaction types whose AppWorld unit tests all pass, including a test that the agent asked the simulated user for every piece of hidden information it needed; 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 July 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 35.7 |
| 2 | GPT-5.5 (Medium) | 25.7 |
| 3 | Qwen 3.7 Max | 22.9 |
| 4 | GLM-5.1 | 20.9 |
| 5 | DeepSeek V4 Pro | 17.6 |
| 6 | Kimi K2.6 | 17.1 |
Interactive version: theaggregate.ai/benchmark?slug=appworld-ul-code-agent-compositional-tasks · How It Works · Data refreshed daily, snapshot 2026-09-29.