Google Ships Gemini Decisions API
Google’s Gemini Decisions API introduces Gemini Decision 1, a multimodal model that scores up to 1,000 bounded questions in one pass. It delivers probabilities and confidence scores in 150–250 ms at $0.10 per million input tokens with no output-token charges.
Decision models are becoming a control layer for agents, not another chatbot category.
- –One shared input can power routing, policy checks, tool selection, grading, and triage across text, images, audio, video, and PDFs.
- –Single-pass scoring avoids token-by-token generation, making latency and cost predictable for high-volume decisions.
- –Confidence scores let developers escalate uncertain cases to a larger model or human reviewer instead of blindly trusting automation.
- –Strands Decider 2B shows the same pattern can run locally, giving teams a meaningful hosted-versus-self-hosted deployment choice.
- –Integrations with LangChain, Vercel, LiteLLM, Pydantic AI, Pipecat, LiveKit, OpenRouter, and OpenCode could make decision models a standard agent primitive.
DISCOVERED
1h ago
2026-11-12
PUBLISHED
4h ago
2026-11-12
RELEVANCE
AUTHOR
themuscleai