Models & Labs
OpenAI Decisions API goes public
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Why it matters
- →Decisions API enables real-time classification workflows by reducing latency to ~100ms.
- →Repurposing ChatGPT Luna offers a multi-modal alternative to specialized System One models.
- →Early enterprise adoption proves viability for replacing LLMs in high-throughput routing tasks.
OpenAI has made its Decisions API generally available, allowing developers to use the ChatGPT Luna model as a high-speed classifier. The service reduces inference latency to approximately 100-180 milliseconds, enabling real-time decision-making workflows that replace traditional large language models for tasks like routing and classification. Early customers such as Speak and Datadog have reported significant performance gains, with one company reducing action times from 1.4 seconds to 0.13 seconds. Although specialized competitors like TypeSafe’s Jev and Liquid’s D1 Ultra currently lead in specific benchmarks, OpenAI leverages Luna’s multi-modal capabilities to offer competitive advantages in image-based decision tasks.
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