Google Unveils Gemini Decisions API to Handle 1,000 Questions at Once
8 Articles
8 Articles
Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens
Google launched the Gemini Decisions API, powered by Gemini Decision 1. It returns calibrated probabilities for up to 1,000 yes/no, choice and rubric questions over text, images, audio, video and PDFs, at $0.10 per 1M input tokens.
Google's Gemini Decision 1 destroys the so-called system one models
Gemini Decision 1 accepts audio and video, scores up to 1,000 questions per request and costs $0.10 per million input tokens, matching OpenAI and trailing Microsoft's $0.042. Teams routing support calls, documents or clips now have a third hosted option to test.
Google taught AI to make decisions without further ado – Gemini Decisions API will save on tokens
Google has released the Gemini Decisions API, designed for tasks in which artificial intelligence needs to quickly evaluate data, select courses of action, and test given conditions. The new interface is based on the Gemini Decision 1 model, capable of […]Read more at Aroged
Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass
Google Deepmind's new Gemini Decisions API evaluates up to 1,000 closed-ended questions in a single pass across text, images, audio, and video. Gemini Decision 1 returns results in 150 to 250 milliseconds at roughly five times lower cost than Gemini 3.5 Flash-Lite, according to Google. The article Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass appeared first on The Decoder.
With the Gemini Decisions API, Google Deepmind introduces an interface that evaluates up to 1,000 closed decisions in a single run over text, image, audio and video. Gemini Decision 1 delivers results in 150 to 250 milliseconds, according to Google about five times cheaper than Gemini 3.5 Flash Lite. The article Gemini Decisions: Google brings specialized AI model for fast decisions instead of text generation first appeared on The Decoder.
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