Thomas Reid writes about OpenAI's new Decisions API, a dedicated endpoint that makes fast, typed decisions such as classifying support requests, detecting missing information in documents, and inspecting product images. The API supports predicate, choice, and score question types and runs on the gpt-6-luna LLM, claiming up to 10x speed over standard LLM calls. Through three Python examples, the article compares the Decisions API to TypesafeAI's JEV model, concluding that Decisions has the edge on image handling while JEV leads on speed and input cost.
- The API costs $0.10 per million input tokens with no charges for output, cache reads, or cache writes.
- JEV costs $0.042 per million input tokens, making it 58% cheaper on input.
- Images must be sent as inline data URLs; standard web URLs and file IDs are not accepted.
- The endpoint supports up to 128 images per request.
- The API costs $0.10 per million input tokens with no charges for output, cache reads, or cache writes.
- JEV costs $0.042 per million input tokens, making it 58% cheaper on input.
- Images must be sent as inline data URLs; standard web URLs and file IDs are not accepted.
- The endpoint supports up to 128 images per request.
