Advancing price-performance for developers with GPT‑5.6 in Kiro

The GPT‑5.6 model family is now available in Kiro, a software development agent that brings engineering rigor and quality to AI-native coding at scale. For Kiro users, the update brings OpenAI’s latest flagship model series at the time of this announcement, including Sol, Terra, and Luna, into the development workflows where teams plan, build, review, and test software. Together, these models can help developers produce higher-quality code with fewer iterations and better value per token.

GPT‑5.6 delivers more useful work from every token, with stronger performance per dollar and on-demand capability for complex tasks. In Kiro, developers can apply these capabilities to long-running development work grounded in their requirements, codebase, and team standards.

Kiro turns high-level intent into clear requirements, technical designs, and executable tasks. This structured context helps GPT‑5.6 understand what a team is building, how the system should work, and what the final implementation needs to accomplish.

Review and refine the model’s work at key checkpoints before changes are implemented.

OpenAI and AWS have also worked together to optimize the Kiro environment and OpenAI models. Testing found that on Terminal-Bench 2.1, GPT‑5.6 Terra completed successful tasks in Kiro at roughly 82% cost reduction. Kiro’s spec-driven approach grounds the model in clear requirements, technical designs, and task context from the start, so it arrives at working solutions faster, with fewer missteps along the way. For developers, that means more finished work, less wasted effort, and better value from every coding session.

OpenAI and AWS will continue working together to improve the performance of OpenAI models in Kiro and help developers get more value from AI across the software development lifecycle.