OpenAI Decisions API alternatives: 7 options compared

OpenAI’s Decisions API, generally available in October 2026, provides typed predicate, choice, and score responses from gpt-6-luna using evidence supplied in a request, supporting up to 400 questions at $0.10 per million input tokens and emphasizing speed, structured inputs, caching, regional processing, and integrations with tool outputs and voice applications. The comparison positions the API against alternatives including Parallel, TypeSafe Jev, Perplexity Decisions, Liquid d1-ultra, Cloudflare Clef-flash, Microsoft-Decision-1, and Laya, which differ in pricing, model availability, deployment options, calibration, benchmarks, and web-search capabilities. Parallel’s product is presented as suited to questions requiring current external evidence because it performs shared web retrieval and returns citations, while lower-cost token-priced or self-hosted models are framed as better for decisions based entirely on data already provided. Benchmark results cited in the piece suggest that web-enabled systems can outperform input-only decision APIs on recent public-web facts, although a GPT-6 Luna research workflow with required web search was reported as more accurate than Parallel at substantially greater cost and latency. The text also outlines how OpenAI request structures can be adapted to Parallel’s API, using an example that checks Linear’s SAML support and EU data-residency options.

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