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OpenAI Rolls Out Flexible Codex Pricing for Business and Enterprise Teams

OpenAI has formally rolled out a more flexible way for organizations to buy and use Codex. Eligible ChatGPT Business and Enterprise workspaces can add Codex-only seats on a pay-as-you-go basis, with usage billed through API-style token consumption rather than a fixed fee for each of those seats. The change matters because it separates AI coding access from a conventional per-user subscription…

OpenAI has introduced a more flexible pricing structure for Codex, its AI coding assistant, aimed at businesses and enterprise teams. Instead of a fixed fee for each user, eligible ChatGPT Business and Enterprise workspaces can now add Codex seats on a pay-as-you-go basis. These seats are billed based on actual usage, measured in API-style tokens, rather than a per-seat subscription.

This change separates AI coding access from a traditional per-user subscription model, allowing teams to provision Codex-only members for development work while managing consumption through credits.

OpenAI also reduced the annual price for a ChatGPT Business seat from $25 to $20. Additionally, new Codex users can receive $100 in promotional credits, with a maximum of $500 per team, to help lower the costs associated with onboarding.

The pricing model is applied across multiple AI-enabled workspace tools, such as ChatGPT Work, ChatGPT for Excel, and others, with usage potentially drawing from a shared pool of credits. While this approach can simplify budgeting, it also means that usage in one feature could impact the credits available for another.

For existing pay-as-you-go seats, no changes are currently noted, but the availability of new pay-as-you-go seats for Business may vary. Organizations considering this model need to monitor how shared credits, workspace permissions, and developer workflows fit into their overall governance and budgeting.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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