OpenAI Launches Decisions API: 10x Faster Routing for Production Decision-Making
OpenAI's Decisions API entered public beta, offering a specialized system for fast decision-making tasks (predicates, choices, and scores) at 10x the speed of full language model inference. It accepts text and image inputs, costs $0.10 per million input tokens with no output charges, and is optimized for high-throughput production workloads. This suggests OpenAI is disaggregating the model zoo—dedicated systems for specialized tasks rather than one model handling everything.
Why it matters
💻 Developer · Purpose-built for high-throughput decision pipelines. Use it for classification, routing, and scoring in production systems. The flat input-only pricing and 10x speedup make it viable for millions of decisions without inference cost exploding. No need to pay for output tokens.
📦 Product · Enables real-time personalization, routing, and content moderation at scale without latency or cost penalties. You can add intelligent decision-making to user-facing features without slowing down response times or crushing margins on high-volume features.
🎨 Design · Faster decisions mean tighter response loops and snappier UX. Decisions in milliseconds instead of seconds keep user interactions flowing naturally, which matters for real-time applications.
📈 Business · Demonstrates OpenAI's shift toward disaggregated inference—different systems for different tasks rather than forcing one large model everywhere. The $0.10 per million input tokens pricing is commoditized; the value is the speed and specialization.
🤔 Just Curious · Shows LLM providers unbundling generalist models into task-specific optimizers. A decision classifier doesn't need language generation capability, so why pay for it? This reflects maturing ML infrastructure where specialist models outcompete generalists on cost and latency.
Sources: Decisions API is now available in Public Beta, OpenAI's Decisions API Promises Routing Answers 10x Faster for Developers