CADWorld: Computer-Use Benchmark for Long-Horizon Computer-Aided Design
On the map: LLM agents and tool use → Multimodal and embodied agents
Abstract (arXiv)
Computer-use agents are increasingly evaluated in realistic desktop environments, but existing benchmarks provide limited coverage of professional engineering workflows whose outputs are persistent, structured artifacts. Mechanical computer-aided design (CAD) is a particularly demanding setting: an agent must manipulate geometry and constraints over long interaction horizons while producing a native project whose dimensions, construction structure, and downstream engineering state remain valid. We introduce CADWorld, a benchmark for long-horizon computer use in FreeCAD. CADWorld contains 200 tasks spanning 11 mechanical-CAD workflow categories, including sketching, part modeling, assembly, CAM, FEM, measurement, mesh processing, and technical drawing. Agents operate through screenshots and GUI actions, while success is determined by task-specific executable checks over saved FreeCAD artifacts and auxiliary outputs, covering geometric properties, parametric structure, constraints, manufacturing state, and simulation results. Across seven current agents on the full benchmark, the strongest agent achieves 17.5% success, compared with an 87.0% expert reference pass. We find that weaker agents often fail before producing a valid artifact, whereas stronger agents increasingly fail on structural, geometric, and construction-process requirements. CADWorld therefore exposes a gap between general GUI competence and reliable execution of persistent, verifiable engineering workflows. Project accessible at https://cad-world.github.io.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 24 of its 37 references that are in the map. First posted on arXiv 14 Sep 2026.
Builds on
24 of 37 references.
References · 24
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,242
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,195
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- 2024CAD-Recode: Reverse Engineering CAD Code from Point Cloudscited by 66
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- 2026OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Taskscited by 40
12 more
- 2026Agents' Last Examcited by 31
- 2024Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Promptscited by 23
- 2026BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CADcited by 15
- 2026Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generationcited by 12
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- 2026Text-to-CAD Evaluation with CADTestscited by 10
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- 2026MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generationcited by 8
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- 2026neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editingcited by 3
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Citing papers per year: 2026: 1.
1 paper.
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