# OpenAI's researchers burned $7,000 a day on AI agents -- now it's opening the floodgates

DevFeed: [OpenAI's researchers burned $7,000 a day on AI agents -- now it's opening the floodgates](<https://devfeed.tech/articles/openai-s-researchers-burned-7-000-a-day-on-ai-agents-now-it-s-opening-the-floodgates-8483.md>)

Original publisher: [Read original article](<https://thenewstack.io/openai-agents-api-compute/>)

Author: Amanda Caswell

Published: 2026-09-11T21:27:42Z

Content type: news

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [long-context](<https://devfeed.tech/topics/long-context.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [api](<https://devfeed.tech/tags/api.md>), [cloud-services](<https://devfeed.tech/tags/cloud-services.md>), [codex](<https://devfeed.tech/tags/codex.md>), [compute](<https://devfeed.tech/tags/compute.md>), [developers](<https://devfeed.tech/tags/developers.md>), [inference](<https://devfeed.tech/tags/inference.md>), [openai](<https://devfeed.tech/tags/openai.md>), [research](<https://devfeed.tech/tags/research.md>), [sandbox](<https://devfeed.tech/tags/sandbox.md>), [tools](<https://devfeed.tech/tags/tools.md>)

## AI overview

OpenAI's public-beta Agents API lets developers run long-lived agents with managed job state, context compression, optional tools, parallel subagents, and execution in OpenAI's sandbox or developer-controlled infrastructure. The article highlights the resulting inference and compute costs, citing internal research-agent usage figures.

## Source excerpt

OpenAI rolled out its Agents API in public beta Thursday, opening the backend behind Codex to developers looking to run The post OpenAI's researchers burned $7,000 a day on AI agents -- now it's opening the floodgates appeared first on The New Stack.