OpenAI Decisions API Beta: 10x Faster Typed Responses

Why this matters

For teams shipping LLM features that feed into if/else logic, this is the first time OpenAI has productized the "prompt, then parse" hack instead of leaving it to developers to duct-tape with regex and retries. Ten times faster matters for anything latency-sensitive, like real-time routing or moderation gates, but we'd want independent benchmarks before taking that number at face value. The pricing comparison is the more interesting signal: TypeSafe at $0.042 per 1M input tokens with free output makes OpenAI's base rate roughly 2.4x pricier, and that gap will push cost-conscious founders to weigh smaller specialized vendors against OpenAI's convenience and image-input support.

Jev's 255-choice ceiling and early-access status suggests the structured-output space is still shaking out standards, not converging on one. The bigger constraint here is lock-in: no open weights, no self-hosting, just a hosted POST endpoint. Anyone building decision logic into production pipelines should treat this as a tool to test now, not a default to commit to, until GPT-6 Luna's actual reliability under load gets scrutinized outside OpenAI's own numbers.