DigestAI news desk

Cut through the AI noise.

Agents & Tools4 min read

Asana cuts model costs 76x in browser tests with GPT-6.1 Sol

Asana’s StackAI platform has been re‑engineered to run its browser‑agent workflows on the GPT‑6.1 Sol model, delivering a dramatic drop in operating expense and runtime.

1 source primary source

What you can do with it

AI at Work →
StackAI by Asana

Collect product data with StackAI

Automates website navigation, form filling and data gathering.

Who for
marketers
Cost
Price not stated
Effort
minutes

Use it for

  • Collect product data
  • Fill online forms
  • Extract catalog info

Watch out Only available to Asana StackAI customers

Try it ↗ What happened · OpenAI Get more customers

StackAI in the tool directory

Key points from the news

  • Extending history caching, larger text budget, and batch screenshot removal cut cost from $1.97 to $0.47 per run.
  • In tests of four models, GPT‑6.1 Sol completed all 18 runs with correct answers, outperforming others.

The improvements stem from three changes introduced by StackAI CTO Frank Hidalgo: extending caching to include browsing history, enlarging the text‑retention budget, and removing screenshots in batches instead of at every step. In a 144‑run study across four frontier models, GPT‑6.1 Sol completed all 18 test runs with correct answers, while other models often failed or hit step limits. The new policy also reduced cost from $1.97 to $0.47 per run, with 89 % of input coming from cache at just 5 % of the uncached price. Asana has shipped these changes to customers and plans to embed the testing framework into StackAI for ongoing cost‑runtime‑quality comparisons.

Model pages: GPT-6.1 Sol → · GPT-6 Astra →

Full story from OpenAI primary sourceOpen source ↗

Asana cuts model costs 76x in browser tests with GPT-6.1 Sol

OpenAI · 9 October 2026

Loading the full article…

This text was published by OpenAI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Agents & Tools

All →

Related stories