Gemini Decision 1
Google·
Overview
Multimodal decision model served only through Google's new Decisions API (API id gemini-decision-1, v1beta endpoint). It generates no text: it scores options directly and returns calibrated probabilities for yes/no, multiple-choice and rubric-score questions with zero output tokens, aimed at routing, ranking, classification and grading steps inside agent pipelines. Up to 1,000 independent questions per request against one shared input, 262,144-token context. Input-only pricing of $0.10 per MTok. Google states no release stage, and publishes no named benchmark figures, only chart images. None of the tracked benchmarks apply to a model that produces no text, so every benchmark field stays empty and the model takes no part in any ranking.
Capabilities and innovations
Benchmarks
No benchmark values are recorded for this model.
- GPQA Diamond: not reported by the vendor — Not applicable: the model returns probabilities and no text, so the tracked benchmarks cannot be run against it.
- Humanity’s Last Exam (no tools): not reported by the vendor
- SWE-bench Verified: not reported by the vendor
- SWE-bench Pro: not reported by the vendor
- MMLU: not reported by the vendor
- MMLU-Pro: not reported by the vendor
- Terminal-Bench 2.x: not reported by the vendor
- Terminal-Bench 3.0: not reported by the vendor
- Terminal-Bench 4.0: not reported by the vendor
- DeepSWE v1.1: not reported by the vendor
- MMMU-Pro: not reported by the vendor
API pricing
$0.1 per million input tokens, $0 per million output tokens (USD, provider list price, checked 2026-11-13)
Links
More from Google
Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.