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deepmind.google·6d ago
AI Engineering
OpenAI Blog·Apr 2·3 min read
Codex now offers more flexible pricing for teams
TL;DR
Teams previously faced rigid pricing models when adopting Codex, OpenAI's code-generation AI tool, limiting experimentation and scaling flexibility. OpenAI introduced pay-as-you-go pricing for ChatGPT Business and Enterprise tiers, allowing teams to pay only for actual usage rather than fixed plans.
✦ Why It Matters
Teams can now pilot Codex with lower financial risk and scale spending directly to actual code generation usage.
Key Takeaways
- Evaluate Codex adoption with minimal upfront cost using consumption-based pricing model.
- Start small pilots and scale based on measured team productivity improvements.
- Compare actual usage costs against fixed-plan alternatives before committing long-term.
- Integrate Codex into development workflows incrementally without renegotiating enterprise agreements.
Full Summary
Codex is OpenAI's AI model trained to generate, complete, and debug code across multiple programming languages. Previously, teams adopting Codex faced inflexible pricing structures that required upfront commitment to fixed plans, creating friction for organizations wanting to pilot or gradually scale the tool.
OpenAI now offers pay-as-you-go pricing—a consumption-based model where teams pay only for tokens (units of text) actually used—available through ChatGPT Business and Enterprise subscription tiers. This pricing model removes the financial risk of early adoption and allows teams to experiment with code generation at lower initial cost.
Organizations can now start small, measure productivity gains, and scale usage without renegotiating contracts. The change directly addresses adoption barriers for mid-market and enterprise teams evaluating AI-assisted development tools.