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Artificial intelligence

Google’s Decisions API scores predefined choices for $0.10 per million tokens

Gemini Decision 1 returns probabilities for predefined choices at $0.10 per million input tokens; the application sets the threshold and decides when to escalate.

145 words · 1 min

Google’s Decisions API evaluates yes/no questions, multiple-choice sets and ordered rubrics against text, images, audio, video or PDFs.

Gemini Decision 1 returns probabilities rather than a generated explanation. Its published paid rate is $0.10 per million input tokens, with no output tokens billed. [1]

A support application could score delivery, refund and billing categories, then route a request only when its chosen threshold is met. Ambiguous cases can go to a person. The threshold is an application policy: a model’s confidence does not itself authorize a refund or another consequential action. Test the score against examples with known outcomes, including requests outside the available categories. [2]

The API accepts up to 1,000 independent questions within its context limit. Google’s reported 150–250 millisecond latency covers smaller tested configurations: up to 16,000 context tokens and one to 100 questions. It should not be assumed for the largest possible request. [1][2]

Take it further

Test a bounded decision against known answers Developer API access and applicable billing are required. Begin with non-sensitive examples and human-reviewed results; no account was connected.

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Revised 12 November 2026. Revised visual explanations and copy; added Nvidia investigation context and clarified tool eligibility.

Reporting sources

  1. Google — Decisions API launch

    November 11 release, published pricing and scoped latency measurements.

  2. Google AI Studio — Decisions API

    Current independent-question semantics, limits, confidence, integration and billing constraints.

  3. Google AI Studio — current pricing

    Gemini Decision 1: $0.10 per million input tokens on the paid tier, zero output tokens; free tier available. Checked November 12.

Images & figures

  • Worked example: 90% confidence clears an application-selected 85% threshold and routes to delivery; a second case at 62% goes to human review. The model scores options; application code applies the policy.

    Euangelion · Source · Usage terms · Download figure