
What happened
Google announced the Gemini Decisions API, built on the Gemini Decision 1 model, which answers up to 1,000 questions per input across text, images, audio, video, and PDFs up to 256,000 tokens without generating text; pricing is $0.1 per 1 million input tokens, output free.
Why it matters
By returning only answers and confidence values, the API aims to cut processing costs while enabling fast responses; Google cites uses such as routing, content moderation, and bulk compliance checks, where low-confidence answers can be escalated to human operators or another model.
WHO IT HITSDevelopers and operations teams building classification-heavy pipelines — routing, moderation, and compliance review — could cut per-call costs and latency by using a decision-only endpoint, though low-confidence answers may still need human or model escalation.
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Google's move follows similar efforts by Jev with TypeSafe, Microsoft with Decision-1, and OpenAI with a Decisions API. What Google is emphasizing as different is the ability to include multiple materials in a single input — multimodal support for text, images, audio, video, and PDFs up to 256,000 tokens — and to run large volumes of checks at relatively low cost.
The design reflects a trade-off: by not generating text token by token, the API returns only answers and confidence scores, which Google says saves processing cost and speeds up responses. It also allows mixing Yes/No, choice, and score question types within one input, and flagging low-confidence answers for human operators or another inference model.
API keys are available through Google AI Studio, giving developers a direct way to test the decision-focused endpoint against existing classification and moderation workflows.
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