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Product

Decisions API

A decision-oriented API interface introduced by OpenAI, built on the Luna model and designed for developer scenarios that require AI-assisted decision-making.

Core Facts

Timeline (last 90 days)

Oct 15

Starting from TypeSafe's release of Jev in mid-September 2026, at least eight companies launched AI decision models within a little over a month, including Cloudflare's Clef, the AWS Strands team's Decider, Perplexity's pplx-decider, Liquid AI's d1 series, OpenAI's Decisions API and Microsoft-Decision-1.

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Oct 13

OpenAI Decisions API images must be passed in as inline base64, and hosted URLs and file IDs are both rejected.

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Oct 13

OpenAI officially claims the Decisions API is about 10 times faster than the Responses API, but it did not disclose benchmarks and did not publish head-to-head accuracy comparisons with competitors.

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Oct 13

OpenAI released the public beta of the Decisions API, with the endpoint POST /v1/decisions, which returns only typed answers (probability, choice, or score).

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Oct 13

The OpenAI Decisions API offers zero data retention support and HIPAA compliance eligibility in the beta.

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Oct 13

On October 6, 2026, OpenAI posted an announcement on its developer forum announcing that the Decisions API had entered public beta.

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Oct 13

One analysis concluded that in short-answer classification scenarios, the cost of the Decisions API is about one-fifth of standard gpt-6-luna pricing.

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Oct 13

OpenAI's documentation mentions two variables for the Decisions API—regional processing surcharges and a long-context input multiplier—but neither has published specific numbers.

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Oct 13

The Decisions API is still in public beta, and general availability (GA) will launch within the coming weeks, with no fixed date.

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Oct 13

The Decisions API supports Zero Data Retention, is HIPAA eligible, and offers US/EU data residency options.

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40 more timeline events

All Facts (20)

Verified

The Decisions API runs on a model called GPT-6 Luna

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Verified

OpenAI announced that the Decisions API is open for public testing to all developers, powered by GPT-6 Luna and supporting text and image input.

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Verified

OpenAI launched a product called the Decisions API.

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Unverified

OpenAI officially claims the Decisions API is about 10 times faster than the Responses API, but it did not disclose benchmarks and did not publish head-to-head accuracy comparisons with competitors.

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Unverified

The OpenAI Decisions API offers zero data retention support and HIPAA compliance eligibility in the beta.

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OpenAI Decisions API images must be passed in as inline base64, and hosted URLs and file IDs are both rejected.

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One analysis concluded that in short-answer classification scenarios, the cost of the Decisions API is about one-fifth of standard gpt-6-luna pricing.

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The Decisions API currently supports only one model, gpt-6-luna, with no fallback model option.

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OpenAI's documentation mentions two variables for the Decisions API—regional processing surcharges and a long-context input multiplier—but neither has published specific numbers.

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The Decisions API supports Zero Data Retention, is HIPAA eligible, and offers US/EU data residency options.

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Decisions API input can be text, images, or a mix of both, but images must be provided as base64 inline data URLs (up to 128 per request), and hosted image links and uploaded file IDs are rejected.

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Decisions API output tokens are billed at $0, and billing is calculated on input only.

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OpenAI's official guidance draws three lines: the Decisions API for classification, routing, scoring, and gating that require a determination; Structured Outputs (Responses API) for scenarios that require extracting fields or written explanations in a structured form; and function calling for scenarios where the model triggers tools with parameters.

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The OpenAI Decisions API (gpt-6-luna) was released on October 6, with an input price of $0.10 / 1M tokens, free output, closed source, and an undisclosed context length.

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The Decisions API returns three typed answer formats: predicates (yes/no with probability), choices (select one from a fixed list), and scores (rated against a rubric), without generating long-form text.

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In a marble-jar experiment where the true probability of drawing red was 50%, the Decisions API chose red 86% of the time; moving the red option from first position to last reduced that probability to 73%.

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The decision-API category only makes sense at scale (millions of content-moderation calls, enterprise-level ticket routing, high-consumption agent loops); at small scale, an ordinary model with a JSON schema can accomplish the same task.

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When using decision APIs, scores should be treated as hints rather than measurements; build your own thresholds, test answer-option ordering before going live, and note that the 10× speed claim only holds when the model was previously generating text that wasn't actually needed.

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The order of answer options causes the Decisions API's confidence to drift by approximately 13 percentage points.

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LangWatch's LLM-as-judge benchmark results show: OpenAI Decisions at 75.2% accuracy, 243 ms median latency, and $1.09 per 1,000 calls; TypeSafe Jev at 63.7% accuracy, 429 ms median latency, and $0.42 per 1,000 calls.

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