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GUI-Owl-1.5 Tops 20+ GUI Benchmarks

GUI-Owl-1.5 Tops 20+ GUI Benchmarks
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๐Ÿ“„Read original on ArXiv AI

๐Ÿ’กOpen-source GUI agent hits SOTA on 20+ benchmarks across desktop/mobile/web (71.6 AndroidWorld)

โšก 30-Second TL;DR

What Changed

SOTA scores: 56.5 OSWorld, 71.6 AndroidWorld, 48.4 WebArena

Why It Matters

Advances accessible GUI automation across platforms, boosting real-time agent apps. Open-sourcing empowers developers to fine-tune SOTA models for custom use cases.

What To Do Next

Clone https://github.com/X-PLUG/MobileAgent and test the online cloud-sandbox demo.

Who should care:Researchers & Academics

๐Ÿง  Deep Insight

Web-grounded analysis with 5 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขGUI-Owl-1.5 achieves state-of-the-art performance among open-source models on over 20 GUI benchmarks, including 56.5 on OSWorld, 71.6 on AndroidWorld, and 48.4 on WebArena[1].
  • โ€ขThe 8B-Thinking variant excels with 52.9 on OSWorld-Verified, surpassing UI-TARS-2 (53.1) at similar scale and general-purpose models like Qwen3-VL-235B-A22B-Think (38.1)[1].
  • โ€ขOn browser benchmarks, GUI-Owl-1.5-8B-Thinking scores 46.7 on WebArena, 40.8 on VisualWebArena, 78.1 on WebVoyager, and 48.6 on Online-Mind2Web, outperforming other open-source models[1].
  • โ€ขThinking variants consistently outperform Instruct versions, especially on long-horizon planning tasks like WebVoyager (69.9 to 82.1) and Online-Mind2Web (41.7 to 48.6)[1].
  • โ€ขGUI-Owl models (e.g., 7B and 32B) show strong prior results on GUI grounding benchmarks like ScreenSpot-Pro and others, with scores up to 99.0 and 96.1 across tasks[2].
๐Ÿ“Š Competitor Analysisโ–ธ Show
ModelKey BenchmarksScaleNotes
GUI-Owl-1.5-8B-ThinkingOSWorld-Verified: 52.9, WebArena: 46.7, WebVoyager: 78.1, Online-Mind2Web: 48.68BSOTA open-source multi-platform GUI agent[1]
UI-TARS-2OSWorld-Verified: 53.1Comparable to 8BSlightly higher on OSWorld but narrower scope[1]
Qwen3-VL-235B-A22B-ThinkOSWorld-Verified: 38.1235BGeneral-purpose, lags on GUI tasks[1]
GUI-Owl-7BScreenSpot-Pro variants: 64.8-86.4, grounding: up to 99.07BStrong prior grounding performance[2]
UI-Venus-7BScreenSpot-Pro: 74.67BCompetitive but outperformed by GUI-Owl-32B[2]

๐Ÿ› ๏ธ Technical Deep Dive

No specific details on model architecture, Hybrid Data Flywheel, or MRPO RL algorithm found in search results. Benchmarks confirm multi-platform (desktop, mobile, browser) evaluation across automation, grounding, tool calling, memory, and knowledge tasks[1].

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

GUI-Owl-1.5 advances open-source GUI agents for cloud-edge collaboration, enabling stronger automation on OSWorld, AndroidWorld, and WebArena, potentially accelerating multi-platform agent deployment while competing with proprietary systems[1].

๐Ÿ“Ž Sources (5)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. arXiv โ€” 2602
  2. arXiv โ€” 2602
  3. localllm.in โ€” Best Local Llms 24gb Vram
  4. infoq.com โ€” Google Translategemma Models
  5. dl.acm.org โ€” 3747588
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