Quick Answer
Google’s Gemini Decisions API gives agencies a new option for bounded website and application tasks that require a yes-or-no answer, a selection from defined choices, or a score against a fixed rubric. Google says Gemini Decision 1 returned confidence scores, used as much as 256,000 tokens of multimodal input and reached median end-to-end latency of 150 to 250 milliseconds in its reported tests.
What Is the Gemini Decisions API?
The Gemini Decisions API is a Google DeepMind endpoint powered by Gemini Decision 1. Its three decision types are yes-or-no checks, multiple-choice questions and ordered rubric scoring.
Google’s November 11, 2026 announcement says one request can contain text, images, audio, video or PDFs up to 256,000 tokens, plus as many as 1,000 independent questions. Each answer includes a confidence score from 0 to 1, which can be used to route ambiguous cases to a fallback or human reviewer.
What This Means for Client Websites
Agencies can map website workflows against the model’s supported question types. The following examples are proposed workflow patterns, while the capability limits come from Google’s documentation.
| Workflow | Example | Assessment |
|---|---|---|
| Likely fit | Approving page sections against a style checklist, classifying support requests or rating a website snippet against a defined relevance scale | Each example maps to a yes-or-no check, multiple choice or rubric score |
| Requires human review | Page sections with inconsistent results, support requests that fall outside the defined categories or snippets near the routing threshold | Compare confidence scores and uncertain results with a current human-approved result |
| Poor fit | Work requiring open-ended text generation | These tasks require open-ended generation, which Gemini Decision 1 does not provide |
How Does Decision-Model Output Differ?
Gemini Decision 1 scores candidate options in one forward pass rather than generating answer text token by token. For a yes-or-no question, it estimates the probability that a condition holds. A choice question can contain 2 to 255 options and returns the winner with normalized probabilities. A score question uses an ordered rubric beginning at 0 and returns a weighted score with per-level probabilities.
Google’s documentation lists tool selection, policy checks, model routing and context grading as uses for the endpoint.
What Performance Does Google Report?
Google reports that Gemini Decision 1 had median model-compute latency of 50 to 100 milliseconds and median end-to-end latency of 150 to 250 milliseconds. Its published tests cover multimodal inputs and contexts up to 16,000 tokens, with latency remaining nearly flat from one to 100 questions per request. These are Google’s reported results, documented on The Keyword on November 11, 2026.
The same announcement says the model leads across a vendor benchmark suite covering agent routing, reasoning, ranking and multimodal understanding, with the lowest calibration error. Separately, SiliconANGLE reported that Google found better performance on seven of nine comparison benchmarks against Jev and OpenAI’s Decisions API, although it reported Jev as slightly more cost-efficient.
What Does It Cost?
Google’s November 11, 2026 announcement lists a launch price of $0.10 per 1 million input tokens and zero billed output tokens. The same announcement says Gemini Decision 1 with the Decisions API was nearly five times cheaper than Gemini 3.5 Flash-Lite with the Interactions API across Google’s shared benchmark suite.
Google says the model is available through the Gemini API in Google AI Studio, with a no-cost tier for prototyping. Agencies should confirm current pricing and access information in the official announcement and Google’s current API documentation before presenting either figure in a client proposal.
How Does Gemini Decision 1 Compare With Jev?
Jev, launched by TypeSafe AI in September 2026, brought a decision-model approach to the market. SiliconANGLE reported that Jev reached one million users within a few days and that TypeSafe AI raised $870 million at a $7.5 billion valuation three weeks after launch. Those figures describe the company’s launch, while Gemini Decision 1’s differentiators are its native multimodal inputs, three decision primitives and published confidence scores.
SiliconANGLE’s comparison found Jev slightly more cost-efficient, despite Google reporting stronger results on seven of nine tests.
What to Do Now
- List the website or application questions that can be expressed as a yes-or-no check, multiple choice or fixed-scale score.
- Separate suitable classification and grading tasks from work that requires open-ended copy or creative generation.
- Ask the agency reviewer to compare structured output with a current human-approved result on a representative sample.
- Review low-confidence and borderline outputs before changing a client workflow.
- Check the current official pricing and access documentation before adding the service to a proposal or budget.
Key Considerations
- Gemini Decision 1 supports bounded decisions rather than unrestricted text generation.
- Every answer includes a confidence score from 0 to 1 so code can route ambiguous cases to a fallback or human reviewer.
- The launch price and no-cost access statement were published on November 11, 2026 and should be rechecked before purchase.
FAQ
What Is Gemini Decision 1?
Gemini Decision 1 is Google’s model for bounded decisions. It handles yes-or-no questions, multiple choice and ordered rubric scoring, and returns probabilities and confidence scores.
How Much Did Gemini Decisions API Cost at Launch?
Google’s November 11, 2026 announcement listed $0.10 per 1 million input tokens and zero billed output tokens. Agencies should verify current pricing in official documentation.
What Kind of Data Can a Gemini Decision 1 Request Include?
Google documents text, images, audio, video and PDFs in a shared input of up to 256,000 tokens, with up to 1,000 independent questions.
What Latency Does Google Report?
Google reports median model-compute latency of 50 to 100 milliseconds and median end-to-end latency of 150 to 250 milliseconds across its published test conditions.
Can Agencies Use Gemini Decision 1 Without Paid Output Tokens?
Google’s launch announcement lists zero billed output tokens and a no-cost tier for prototyping in Google AI Studio. Current access terms should be confirmed before implementation.
Sources
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