Artificial Analysis reports that xAI’s Grok 4.5 (high) scored 51.4% on AutomationBench-AA, narrowly ahead of OpenAI’s GPT-5.6 Sol (max) at 51.2%. The result is specific to a simulated SaaS workflow benchmark and should not be read as a universal ranking across all browser, computer-use, or agentic AI tasks.
Artificial Analysis says xAI’s Grok 4.5 (high) leads its AutomationBench-AA benchmark, a test focused on simulated software-as-a-service workflow tasks.
According to the AutomationBench-AA leaderboard published by Artificial Analysis, Grok 4.5 (high) scored 51.4%, just ahead of OpenAI’s GPT-5.6 Sol (max) at 51.2%. The same Artificial Analysis source describes the benchmark as evaluating agentic SaaS workflow automation, rather than serving as a general browser-use or computer-control leaderboard.
The reported gap between the two top systems is small: 0.2 percentage points. That makes the result useful, but also easy to overstate. Based on the published leaderboard, the most careful conclusion is that Grok 4.5 and GPT-5.6 Sol performed very similarly on this particular test suite, with Grok 4.5 holding the top listed score.
BeInCrypto also reported the AutomationBench-AA result, citing Grok 4.5 at 51.4%. The outlet said the model ranked ahead of Anthropic models including Claude Fable 5 at 48.6% and Claude Opus 4.8 at 48.5%. Those figures support the broader point that Grok 4.5 is competitive with other high-end models on this specific SaaS workflow evaluation.
Artificial Analysis frames AutomationBench-AA as a benchmark for agents working through simulated SaaS-style workflows. That distinction matters because “agentic AI” covers a wide range of tasks, including browser navigation, coding, desktop control, planning, tool use, and enterprise application workflows.
A model that ranks first on one agentic benchmark may not lead on another if the task design, tools, scoring methods, or environment differ. For teams comparing models, the relevance of AutomationBench-AA depends on whether their own use case resembles the SaaS workflow tasks represented in the benchmark.
xAI’s launch page for Grok 4.5 describes the model as intended for coding, agentic tasks, and knowledge work. The company also lists pricing of $2 per million input tokens and $6 per million output tokens.
The Artificial Analysis result gives xAI a third-party benchmark point that aligns with that positioning. It does not, on its own, establish broad superiority across all enterprise, browser, or computer-use settings. It is one reported result from one evaluator on one benchmark.
OpenAI’s GPT-5.6 announcement provides a useful comparison, but it refers to different evaluations. OpenAI says GPT-5.6 Sol achieved 92.2% on BrowseComp and 62.6% on OSWorld 2.0, which OpenAI describes as state-of-the-art browser and computer-use results.
Those OpenAI figures do not conflict with Artificial Analysis’s AutomationBench-AA ranking, because the benchmarks measure different things. BrowseComp and OSWorld 2.0 focus on browser and operating-system-style tasks, while Artificial Analysis describes AutomationBench-AA as centered on SaaS workflow automation.
The leaderboard suggests that several frontier models are close on at least one class of agentic workflow tasks. Grok 4.5’s 51.4% score, GPT-5.6 Sol’s 51.2% score, and the reported high-40s results for Claude models indicate a compressed field near the top of AutomationBench-AA.
For developers and enterprise buyers, the practical takeaway is not simply that one model has “won” agentic AI. It is that benchmark fit matters. A team building browser-based research tools may weigh OpenAI’s cited BrowseComp results differently from AutomationBench-AA. A team building assistants for SaaS workflows may find Artificial Analysis’s benchmark more relevant.
Public benchmarks can help narrow a shortlist, but deployment decisions still depend on how models behave on real internal tasks. Reliability, latency, cost, tool integration, observability, and failure handling can matter as much as a leaderboard position.
For now, the source-backed conclusion is specific: Artificial Analysis reports that Grok 4.5 (high) leads AutomationBench-AA at 51.4%, narrowly ahead of GPT-5.6 Sol (max) at 51.2%, while xAI markets Grok 4.5 for coding, agentic tasks, and knowledge work.
Artificial Analysis says xAI’s Grok 4.5 (high) leads its AutomationBench AA benchmark, a test focused on simulated software as a service workflow tasks.
According to the AutomationBench AA leaderboard published by Artificial Analysis, Grok 4.5 (high) scored 51.4%, just ahead of OpenAI’s GPT 5.6 Sol (max) at 51.2%.
The same Artificial Analysis source describes the benchmark as evaluating agentic SaaS workflow automation, rather than serving as a general browser use or computer control leaderboard.
Continue reading
