Google launches Gemini Decisions API with new Gemini Decision 1 model, delivering predefined answers and confidence scores for $0.10 per million tokens
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| Source: Techmeme | Original article
Google has launched the Gemini Decisions API, using the Gemini Decision 1 model to return predefined answers with confidence scores, priced at $0.10 per million input tokens.
Google has opened a new endpoint for its generative‑AI platform, the Gemini Decisions API, built around the freshly released Gemini Decision 1 model. The service, announced on November 11, 2026, returns predefined yes/no or multiple‑choice answers together with calibrated confidence scores, rather than generating free‑form text. Each request can evaluate up to 1,000 independent questions against a single input, and the pricing is set at $0.10 per million input tokens – a stark contrast to the higher token‑usage costs of full‑text generation.
The launch matters because it gives developers a leaner tool for routing, safety checks, tool selection and grading inside AI‑driven applications. By sidestepping the latency and token overhead of conventional language‑model responses, the API promises faster, more predictable decision‑making for multimodal agents that need to act on large batches of binary or choice queries. The calibrated probabilities also help downstream systems assess risk and trust, a growing concern as AI agents become more autonomous.
Watchers should monitor how quickly the API is adopted within Google’s AI Studio and by third‑party developers building agent pipelines. Early integration signals may appear in projects that already leverage Google’s agent‑centric tools, such as the Tabletop AI experiment we covered on November 11. Further developments could include higher throughput limits, expanded modality support or tighter coupling with Google’s broader Gemini suite. Competitors may respond with similar decision‑focused offerings, turning the space into a new front in the race for efficient, trustworthy AI orchestration.
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