ProSoftArena: Benchmarking Hierarchical Capabilities of Multimodal Agents in Professional Software Environments
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Abstract (arXiv)
Multimodal agents are making rapid progress on general computer-use tasks, yet existing benchmarks remain largely confined to browsers and basic desktop applications, falling short in professional software workflows that dominate real-world scientific and industrial practice. To close this gap, we introduce ProSoftArena, a benchmark and platform specifically for evaluating multimodal agents in professional software environments. We establish the first capability hierarchy tailored to agent use of professional software and construct a benchmark of 436 realistic work and research tasks spanning 6 disciplines and 13 core professional applications. To ensure reliable and reproducible assessment, we build an executable real-computer environment with an execution-based evaluation framework and uniquely incorporate a human-in-the-loop evaluation paradigm. Extensive experiments show that even the best-performing agent attains only a 24.4% success rate on L2 tasks and completely fails on L3 multi-software workflow. In-depth analysis further provides valuable insights for addressing current agent limitations and more effective design principles, paving the way to build more capable agents in professional software settings. This project is available at: https://prosoftarena.github.io.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 31 of its 46 references that are in the map. First posted on arXiv 30 Dec 2025.
Builds on
31 of 46 references.
References · 31
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
- 2023GAIA: a benchmark for General AI Assistantscited by 1,084
- 2023CogAgent: A Visual Language Model for GUI Agentscited by 692
- 2024GPT-4V(ision) is a Generalist Web Agent, if Groundedcited by 547
- 2024Executable Code Actions Elicit Better LLM Agentscited by 537
- 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
- 2023AppAgent: Multimodal Agents as Smartphone Userscited by 407
- 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 348
- 2018Reinforcement Learning on Web Interfaces Using Workflow-Guided Explorationcited by 282
- 2024Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scalecited by 212
- 2024GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devicescited by 190
19 more
- 2024Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMscited by 173
- 2025An Illusion of Progress? Assessing the Current State of Web Agentscited by 165
- 2024OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Webcited by 156
- 2024Android in the Zoo: Chain-of-Action-Thought for GUI Agentscited by 156
- 2024UFO: A UI-Focused Agent for Windows OS Interactioncited by 147
- 2025InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasonerscited by 140
- 2024Aria-UI: Visual Grounding for GUI Instructionscited by 136
- 2024AutoWebGLM: A Large Language Model-based Web Navigating Agentcited by 130
- 2024AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agentscited by 105
- 2024Beyond Browsing: API-Based Web Agentscited by 77
- 2024The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Usecited by 62
- 2024Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agentscited by 56
- 2025ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflowscited by 47
- 2024CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agentscited by 38
- 2025Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deploymentcited by 38
- 2025MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agentscited by 37
- 2025OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agentscited by 37
- 2025CoAct-1: Computer-using Multi-Agent System with Coding Actionscited by 33
- 2025OSUniverse: Benchmark for Multimodal GUI-navigation AI Agentscited by 10
Built on by
Citing papers per year: 2026: 7.
7 papers.
- 2026From Question Answering to Task Completion: A Survey on Agent System and Harness Designcited by 9
- 2026On the Reliability of Computer Use Agentscited by 8
- 2026How Benchmarks Mis-Score Computer-Use Agentscited by 3
- 2026TOBench: A Task-Oriented Omni-Modal Benchmark for Real-World Tool-Using Agentscited by 0
- 2026ParEvalLayer: When Partial LLM-Agent Evaluations Support a Decisioncited by 0
- 2026Timeline-Bench: Evaluating Agents on Realistic Video-Editing Tasks, from Raw Footage to Final Cutcited by 0
- 2026AutoGUIWorld: Image Generators as Visual World Models for GUI Agentcited by 0
- 2026AutoGUIWorld: Image Generators as Visual World Models for GUI Agent1 Oct 2026
- 2026Timeline-Bench: Evaluating Agents on Realistic Video-Editing Tasks, from Raw Footage to Final Cut28 Sep 2026
- 2026ParEvalLayer: When Partial LLM-Agent Evaluations Support a Decision3 Aug 2026
- 2026How Benchmarks Mis-Score Computer-Use Agents30 Jul 2026
- 2026From Question Answering to Task Completion: A Survey on Agent System and Harness Design14 Jun 2026
- 2026TOBench: A Task-Oriented Omni-Modal Benchmark for Real-World Tool-Using Agents16 May 2026
- 2026On the Reliability of Computer Use Agents20 Apr 2026