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Today · October 9

Asana cuts agent costs 29x via caching; one task was tested

An OpenAI customer case: Asana's browser agent (an AI that takes actions itself) cut its cost per run 76x, and 29x of that came from changing caching and screenshot history, not from switching models. The case study says the same older model, with only caching and history handling changed, went from at least US$36.21 to US$1.24 per run, a 29x cut; switching to GPT-6.1 Sol made it a further 2.6x cheaper, at US$0.47. Together that is roughly the 76x; since the starting cost is a floor, the 29x and the 76x are lower bounds. Caching means repeated prompt content doesn't have to be recomputed and is billed at a lower rate; 89% of input hit the cache, and the cached price is 5% of the uncached price (OpenAI, 2026-10-09). In this case, the 29x came from the code wrapped around the model that manages prompts, tools and caching. This is OpenAI marketing copy, the older model isn't named, and each configuration ran only 3 times on a single task.

Source

This item ran in the brief of Oct 10, 2026, alongside 14 other items.

Cite this item

SecondSource (2026). "Asana cuts agent costs 29x via caching; one task was tested." https://secondsource.io/en/product/2026-10-10-1/. Accessed access date.