Google joins the decision-model wave with Gemini Decision 1, scoring 1,000 questions in a single pass
Source: The Decoder (opens in a new tab) · Matthias Bastian
Intel Summary
Google DeepMind has introduced the Gemini Decisions API and its Gemini Decision 1 model, designed to process up to 1,000 closed-ended queries in a single pass across text, image, audio, and video inputs. According to Google, the system returns outputs within 150 to 250 milliseconds and reduces operational costs roughly fivefold compared to Gemini 3.5 Flash-Lite.
Why It Matters
High-throughput, single-pass scoring across multiple modalities enables engineering teams to execute high-volume classification, filtering, and decision pipelines at substantially lower latency and cost than standard conversational inference workflows.
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