Gemini 4 Hydrogen
A multimodal developer model for everyday coding, agent workflows and knowledge work with configurable thinking levels.
Multimodal decision model returns calibrated probabilities for binary, categorical, and rubric questions without generating output tokens.
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Gemini Decision 1 is Google’s multimodal model for bounded judgments such as classification, binary checks and rubric scoring. Accessed through the Decisions API, it returns calibrated probabilities without generating text tokens.
Google positions it for developers building tool selection, policy checking, model routing and context grading into applications. It is suited to workflows that need a structured judgment to guide the next action. The model identifier is gemini-decision-1.
Evaluate shared text, PDFs, images, audio and video.
Define yes/no checks, categorical choices or rubric scores.
Submit up to 1,000 questions within a shared 262,144-token context. Each question evaluates the shared input independently and cannot see other questions; compose dependent logic in application code.
Use probability-based decisions for tool selection, model routing or context grading.
Evaluate predefined categories to decide which application workflow should handle an incoming request.
Define scoring criteria for assessing submitted material before a human review.
Assess which available tool best matches a task using predefined choices.
A free tier is available alongside Standard paid usage. Shared input is billed once per request; question instructions, criteria and formatting add input tokens. No output tokens are billed.
Applies to text, image, video, audio and PDF input. The model generates zero output tokens.
No. The Decisions API returns typed probability answers and generates no text tokens.
No. Shared input is billed once per request, while each question contributes its own instruction, criteria and formatting tokens.
Google lists tool selection, policy checking, model routing and context grading as intended applications.