BenchLM recommendation
Best Computer Use AI Models in 2026
As of July 23, 2026, the top model in best computer use ai models on the BenchLM leaderboard is Claude Opus 4.8 with a score of 85.2.
Last verified: July 23, 2026
This reporting page focuses on computer-use and GUI-agent behavior: whether a model can read screens, ground actions, and complete software tasks. It is distinct from pure tool calling and distinct from plain multimodal image understanding.
This page ranks models using only sourced computer-use and GUI benchmarks in the reporting family.
Bottom line: Computer-use AI is still early — only a handful of models have verifiable GUI grounding scores. GPT-5.4 and Claude Opus 4.6 lead on OSWorld-Verified.
Claude Opus 4.8 leads this ranking with a score of 85.2, followed by GPT-5.4 (79.2) and Claude Opus 4.6 (76.9). There is a significant gap between the leading models and the rest of the field.
All models in this ranking are proprietary. No open-weight alternatives are available for this category.
This ranking is based on provisional overall weighted scores across BenchLM.ai's scoring formula tracked by BenchLM.ai. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
What changed
GPT-5.4 leads computer-use with the best OSWorld-Verified and ScreenSpot Pro scores.
Claude Opus 4.6 close second with strong GUI grounding across benchmarks.
Claude Opus 4.5 holds third with solid OSWorld coverage.
How to choose
Full Rankings (5 models)
Key Takeaways
The top model on this sourced reporting-family slice is Claude Opus 4.8 by Anthropic with an average of 85.2.
5 models are listed with sourced benchmark coverage in this reporting family.
Score in Context
What these scores mean
This is a reporting family ranking, not a weighted category. It averages sourced computer-use and GUI benchmarks to give a focused view of this capability.
Known limitations
Models must have sourced results on at least a quarter of the benchmarks in this family to be included. Coverage varies — a model with 2 benchmark scores is less reliable than one with 5.
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