Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens
By Michal Sutter β November 11, 2026
Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). Unlike conventional generative models, the Gemini Decisions API does not produce text. Instead, it scores up to 1,000 typed questions against a single shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection, and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed.
TL;DR
- Size: Context is 262,144 tokens (256K) across the shared input and all questions.
- Runs on: Google-hosted API only (Gemini Developer API, v1beta). No open weights or self-hosting.
- Performance: Leads 7 of 9 accuracy benchmarks in Google's table, with the lowest calibration error.
- Best: 92.2% on JevBench (public split).
- Worst: 58.7% Macro-F1 on Amazon ESCI, its lowest score. It also trails Jev 1.14 on When2Call (79.9% vs. 82.0%).
- Bottom line: Best for multimodal, calibrated decisions in 150β250 ms. Not the cheapest option: Jev 1.14 costs $0.68 versus $0.88 on the shared suite.
What Is the Gemini Decisions API?
Gemini Decision 1 is a specialized multimodal model from Google built for closed-set decisions. It reads text, images, video, audio, and PDFs in a single prefill pass. Output token usage is always zero, so your code branch...
via MarkTechPost