Google releases the Gemini Decisions API and the Decision 1 model

1. 13:26
   Latent SpaceFeatured

   [AINews] D-Day (Decision Models Day)

   Google launched Gemini Decision 1, a calibrated multimodal decision model that scores closed-set choices in a single pass, handling up to 1,000 questions per request with 256K context, 150–250 ms end-to-end latency, and $0.10 per 1M input tokens with no output charge. Google's own tests show it beating TypeSafe's Jev 1.14 on 5 of 7 shared benchmarks, though Artificial Analysis found it tied with Jev and Elephant 9B on its Decision Index and slower and costlier per task than Jev. The roundup also covers Fable 5.2 topping Agent Arena, AlphaGenome 2, Runway's Praxis-1, Gemini Robotics 2.5, and reports that Nvidia's board is preparing to remove Jensen Huang.

2. 06:03
   Simon Willison

   Gemini Decisions API

   Google has joined Jev and OpenAI in the decision model category with "Gemini Decision 1", an API that supports the same three question types as Jev (yes/no, choice, and rubric-scoring) and reuses Jev's term "Noul" for yes/no questions. It is priced like GPT-6 Luna at 10 cents per million input tokens with free output, while Jev remains cheapest at 4.2 cents per million; unlike Jev (text and JSON only) and OpenAI (text and images), Gemini Decision 1 covers text, images, audio, video, and PDFs. Testing it on a video returned probability values rather than the 1.0 or 0.0 yes/no answers Jev and OpenAI give.

3. 05:21
   MarkTechPost

   Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens

   Google launched the Gemini Decisions API, powered by the new Gemini Decision 1 model, which does not generate text but scores up to 1,000 typed questions against one shared input and returns calibrated probabilities for uses like routing, policy checks, tool selection and grading. It supports text, images, audio, video and PDFs with a 262,144-token context, bills $0.10 per 1M input tokens with zero output tokens, and is available only via the Google-hosted Gemini Developer API (v1beta). Google reports it leads 7 of 9 accuracy benchmarks in its table with a top-1 ECE of 0.0250, though it trails TypeSafe Jev 1.14 on When2Call (79.9% vs 82.0%) and costs more across the shared suite ($0.88 vs $0.68).

4. 04:12
   The DecoderFeatured

   Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass

   Google DeepMind is introducing the Gemini Decisions API, built for fast closed-ended decisions such as yes/no questions, multiple choice, and scale-based ratings, powered by the Gemini Decision 1 model that processes up to 1,000 independent questions in a single pass across text, images, audio, video, and PDFs. It scores options directly and returns probabilities with confidence values in 150 to 250 milliseconds, and Google says it already uses the API internally for dynamic model routing in Gemini Notebook, design prototyping in Stitch, and safety checks in Google Search. The API costs $0.10 per million input tokens with no output-token charge, about five times cheaper than Gemini 3.5 Flash-Lite according to Google, and is available now through Google AI Studio with integrations for OpenRouter, LangChain, Vercel, and other platforms rolling out.

5. 03:59
   Hacker News AI

   Gemini Decision 1 is Free on Google AI Studio

   A Hacker News submission notes that Gemini Decision 1 is available for free on Google AI Studio, linking to the AI Studio Decisions API documentation. The post had 6 points and no comments at the time of collection.

6. 02:00
   Google Blog AIFeatured

   Gemini Decisions API: Fast, calibrated multimodal decisions

   Google introduced the Gemini Decisions API, powered by the new Gemini Decision 1 model (gemini-decision-1) and available through the Gemini API in Google AI Studio, for closed-set decisions such as tool selection, policy checks, model routing, and context grading. It accepts one multimodal input (text, images, audio, video, PDFs up to 256K tokens) with up to 1,000 yes/no, multiple-choice, and rubric-scoring questions, scoring options in a single forward pass with confidence scores at 150-250 ms end-to-end latency and $0.10 per 1M input tokens with zero output tokens billed. Google reports that Gemini Decision 1 leads across agent routing, reasoning, ranking, and multimodal benchmarks with the lowest calibration error, and is nearly 5x cheaper than Gemini 3.5 Flash-Lite with the Interactions API across the shared benchmark suite.

Trends compare the same fully observed participants, which may cover fewer participants than current activity. Move the pointer or tap the chart to inspect hourly activity; use the left and right arrow keys with a keyboard.