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By Alexander Dijkema · October 10, 2026 · 2 min read

OpenAI and Asana Cut Browser Agent Costs 76x With New Models

OpenAIBrowser AgentsCost Reduction

OpenAI just highlighted a major performance breakthrough in web automation. In recent browser tests, work management platform Asana used OpenAI's newest model variants—referred to in the primary announcement as GPT-6.1 Sol and GPT-6 Astra in Codex—to drastically improve its browser agent.

The top-line numbers are substantial: Asana made its browser agent 76 times cheaper and 5 times faster.

Details from the announcement are currently limited to these summary benchmarks. However, the sheer scale of the cost and speed reductions signals a major shift in how businesses will be able to deploy AI agents for web-based tasks.

The Economics of Web Automation

Browser agents are AI tools that navigate the internet like a human user. They can read web pages, click buttons, fill out forms, and move data between tabs. Until now, relying on large language models to process every screen and make a decision for every single click has been slow and prohibitively expensive at scale.

A 76x reduction in cost changes the math for small and mid-sized businesses. When the price of running a browser agent drops this severely, tasks that previously didn't justify the compute cost suddenly become prime candidates for everyday automation.

Practical Impact for Operations

For an SMB, a fast, cheap browser agent solves one of the most frustrating operational bottlenecks: systems that refuse to talk to each other.

Many businesses rely on legacy software, vendor portals, or local government websites that lack APIs (the standard way modern software communicates). When APIs aren't available, employees end up manually copying and pasting data from one web interface to another.

With underlying models operating 5x faster and at a fraction of the price, automated browser agents can take over these manual workflows. Whether it is pulling daily shipping rates from a supplier's clunky portal, updating records in a legacy CRM, or migrating data across web apps, browser agents are becoming practical operational tools rather than expensive experiments.

While we await the full technical documentation on these new OpenAI models, the trajectory is clear. The barrier to entry for agentic web automation is collapsing, opening the door for businesses to automate routine browser tasks cost-effectively.

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