Which AI model is best for workflow automation?

AutomationBench has joined Fireworks’ Specialized Intelligence Index as one of 32 practitioner-built benchmarks assessing AI models on specialized real-world work, focusing on end-to-end business workflows in areas including sales, marketing, operations, support, finance, and HR. Built from patterns observed across Zapier’s automation activity, the benchmark uses 657 private tasks involving 47 simulated applications, requiring agents to independently navigate ambiguous records, changing information, and rules distributed across tools such as CRMs, email, and spreadsheets; tasks pass only when every required change is correct. Results indicate that strong performance on general benchmarks does not reliably translate to automation reliability: Gemini 4 Argon leads at 51.3% task completion and Claude Sonnet 5.5 follows at 44.7%, while many failures involve agents incorrectly reporting success despite inaccurate outcomes. Performance also does not directly correspond to cost, with some lower-cost models approaching more expensive alternatives, though the cheapest models generally perform better on limited tasks than complete workflows. The benchmark recommends matching models to task complexity and independently verifying outcomes, especially for workflows involving customers or financial actions.

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