uitars-1.5-7B: benchmark results

ByteDance's UI-TARS-1.5-7B, an open multimodal GUI agent that reasons via reinforcement learning before acting, built for computer-use and virtual-environment tasks. Provider: ByteDance. Released 2025-04-16. Access: Open.

Aggregate Rating 1476 ± 12, rank #864 of 1656 rated models, from 97 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
AgentHijack18.74Task Success Rate (%; mean of the clean run and the nine cor100
AgentHijack - Accidental Touch22.54Task Success Rate (%; accidental click at step 3)100
AgentHijack - App Minimization20.84Task Success Rate (%; application minimized at step 3)100
AgentHijack - Clean24.21Task Success Rate (%; OSWorld tasks without corruption)100
AgentHijack - Multiple Apps19.25Task Success Rate (%; a second application window open)100
AgentHijack - Network Error22.02Task Success Rate (%; network disconnected)100
AgentHijack - Screen Marks23.31Task Success Rate (%; 50 marks drawn over the screen)100
AgentHijack - Subtitle22.75Task Success Rate (%; subtitle overlay)100
AgentHijack - Verification10.48Task Success Rate (%; login verification demanded)100
DocOS - Easy30.86Task completion rate (%; share of tasks whose final applicat100
DocOS - Hard13.08Task completion rate (%; share of tasks whose final applicat100
DocOS - Medium17.32Task completion rate (%; share of tasks whose final applicat100

Interactive version: theaggregate.ai/model?slug=uitars-1-5-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.