Google released Gemini Decision 1, input price 0.10 USD/million tokens

Google released the Gemini Decisions API, with the underlying model being Gemini Decision 1. Sundar Pichai and Logan Kilpatrick announced this model. It handles closed-set decision-making, scoring options in a single forward pass rather than generating text token by token. The model supports yes/no judgments, multiple-choice, and scale ratings, with multiple-choice allowing up to 255 options, and can accept text, images, audio, video, and PDFs, with a maximum of 1000 questions per request, a context window of 256K, and an end-to-end latency of about 150 to 250 milliseconds, returning confidence for each answer.

The input price is $0.10 per million tokens, with output not charged. Google states that this price is about one-fifth of Flash-Lite. The project began as an internal prototype at Google DeepMind, with a small team delivering the model and interface after about six weeks. Google’s self-testing shows that Decision 1 leads in 5 out of 7 shared benchmarks against the TypeSafe decision model Jev 1.14, with JevBench at 92.2% and Jev 1.14 at 90.0%. The input price for Jev is $0.042 per million tokens.