Benchmark · agentic

OSWorld

26 results 20 models

OSWorld is a benchmark that tests computer-use agents on real desktop-operating-system tasks spanning everyday apps (file managers, web browsers, office suites). It reports the percentage of tasks the agent completes successfully.

Read more
Example
A task might ask the agent to open a spreadsheet, edit a value or reformat some data and save the file, or to find a file in the file manager and change a system setting, operating the real graphical interface (GUI) just as a person would.
Scoring
The metric is task success rate, expressed as a percentage. Each task is either passed or failed, and the score is the fraction of tasks passed across the whole task set.
Verification
Results are checked automatically by execution-based scripts that inspect the machine's final state (for example, whether the correct file, value, or setting now exists), rather than by matching text or human voting.
Why it matters
It measures whether AI agents can actually operate a real computer across many applications, a much harder and more realistic test of autonomy than answering questions or single-app tasks.
Worked example
Task
A GNOME Terminal is open on the Ubuntu desktop. In the folder ~/project, recursively find every .log file larger than 10 MB and delete it, leaving all other files untouched.
Solution
find ~/project -type f -name '*.log' -size +10M -delete
Walkthrough
find walks ~/project recursively, matches regular files named *.log over 10 MB, and -delete removes exactly those while sparing everything else. OSWorld grades with a per-task checker over the VM's final filesystem state, awarding reward 1 only if the target logs are gone and the other files remain.
0 22 44 66 88 2024-04-11 2025-06-03 2026-07-27 best model · 12.2 · 2024-04-11 Claude 3.5 Sonnet (New) · 14.9 · 2024-10-22 Claude 3.5 Sonnet · 14.9 · 2024-10-22 UI-TARS · 24.6 · 2025-01-21 CUA · 38.1 · 2025-01-23 GUI-Owl-7B · 29.4 · 2025-08-21 Mobile-Agent-v3 · 37.7 · 2025-08-21 GUI-Owl (with TRPO) · 34.9 · 2025-08-21 UI-TARS-2 · 47.5 · 2025-09-02 Claude Sonnet 4.5 · 61.4 · 2025-09-29 Claude Sonnet 4.5 · 61.4 · 2025-09-29 Claude Sonnet 4.5 · 61.4 · 2025-09-30 Surfer 2 · 60.1 · 2025-10-22 Claude Opus 4.6 · 72.7 · 2026-02-05 Claude Sonnet 4.6 · 72.5 · 2026-02-17 GUI-Owl-1.5 · 56.5 · 2026-02-24 GPT-5.5 · 78.7 · 2026-04-25 OpenCUA-72B · 48.9 · 2026-07-06 GPT-5.6 Sol · 62.6 · 2026-07-09 Gemini 3.6 Flash · 83 · 2026-07-21 Gemini 3.6 Flash · 83 · 2026-07-21 Gemini 3.5 Flash-Lite · 74 · 2026-07-21 Gemini 3.5 Flash-Lite · 74 · 2026-07-21 OpenForgeGUI · 37.7 · 2026-07-24 OpenForgeGUI · 37.7 · 2026-07-24 OpenForgeGUI · 37.7 · 2026-07-27
best model Claude 3.5 Sonnet (New) Claude 3.5 Sonnet UI-TARS CUA GUI-Owl-7B Mobile-Agent-v3 GUI-Owl (with TRPO) UI-TARS-2 Claude Sonnet 4.5 Surfer 2 Claude Opus 4.6 Claude Sonnet 4.6 GUI-Owl-1.5 GPT-5.5 OpenCUA-72B GPT-5.6 Sol Gemini 3.6 Flash Gemini 3.5 Flash-Lite OpenForgeGUI
Timeline
Date Model Score Source
2026-07-27 OpenForgeGUI 37.7% OpenForgeRL enables end-to-end training of harness-based agents in any environment
2026-07-24 OpenForgeGUI 37.7% OpenForgeRL enables end-to-end training of harness-based agents in any environment
2026-07-24 OpenForgeGUI 37.7% OpenForgeRL enables end-to-end training of harness-based agents in any environment
2026-07-21 Gemini 3.6 Flash 83.0% Google releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber for agentic workloads
2026-07-21 Gemini 3.5 Flash-Lite 74.0% Google releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber for agentic workloads
2026-07-21 Gemini 3.6 Flash 83.0% Google releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
2026-07-21 Gemini 3.5 Flash-Lite 74.0% Google releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
2026-07-09 GPT-5.6 Sol 62.6% OpenAI launches GPT-5.6 family with Sol, Terra, and Luna models
2026-07-06 OpenCUA-72B 48.9% Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents
2026-04-25 GPT-5.5 78.7% OpenAI releases GPT-5.5, a ground-up retrained model with native omnimodal processing
2026-02-24 GUI-Owl-1.5 56.5% GUI-Owl-1.5 introduces multi-platform fundamental GUI agents
2026-02-17 Claude Sonnet 4.6 72.5% Anthropic releases Claude Sonnet 4.6 with improved coding, computer use, and 1M token context
2026-02-05 Claude Opus 4.6 72.7% Anthropic releases Claude Opus 4.6 with 1M context window and agentic improvements
2025-10-22 Surfer 2 60.1% Surfer 2 achieves state-of-the-art cross-platform computer use via visual observation
2025-09-30 Claude Sonnet 4.5 61.4% Anthropic releases Claude Sonnet 4.5 with improved coding and agent capabilities
2025-09-29 Claude Sonnet 4.5 61.4% Anthropic releases Claude Sonnet 4.5 with improved coding, computer use, and alignment
2025-09-29 Claude Sonnet 4.5 61.4% Anthropic
2025-09-02 UI-TARS-2 47.5% UI-TARS-2 advances GUI agent with multi-turn reinforcement learning
2025-08-21 GUI-Owl-7B 29.4% Mobile-Agent-v3 introduces GUI-Owl, setting new open-source SOTA on AndroidWorld and OSWorld
2025-08-21 Mobile-Agent-v3 37.7% Mobile-Agent-v3 introduces GUI-Owl, setting new open-source SOTA on AndroidWorld and OSWorld
2025-08-21 GUI-Owl (with TRPO) 34.9% Mobile-Agent-v3 introduces GUI-Owl, setting new open-source SOTA on AndroidWorld and OSWorld
2025-01-23 CUA 38.1% OpenAI introduces Computer-Using Agent (CUA) powering Operator research preview
2025-01-21 UI-TARS 24.6% UI-TARS introduces native GUI agent model outperforming commercial frameworks
2024-10-22 Claude 3.5 Sonnet (New) 14.9% Anthropic releases Claude 3.5 Haiku and upgraded Claude 3.5 Sonnet with computer use
2024-10-22 Claude 3.5 Sonnet 14.9% Anthropic upgrades Claude 3.5 Sonnet, releases Claude 3.5 Haiku and computer use beta
2024-04-11 best model 12.24% OSWorld introduces benchmark for multimodal agents in real computer environments