BenchLM recommendation
Best Computer Use AI Models in 2026
As of August 22, 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: August 22, 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 Qwen3.8 Max (82.7) and GPT-5.4 (79.2). There is meaningful separation between the top models, suggesting genuine performance differences.
The best open-weight option is Qwen3.8 Max (ranked #2 with a score of 82.7). Open-weight models are highly competitive in this category — self-hosting is a viable alternative to proprietary APIs.
This ranking uses provisional overall weighted scores from the active scoring formula. 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 (8 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.
The best open-weight model is Qwen3.8 Max at position #2.
8 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.
Explore More
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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