Liquid AI drops d1-ultra, tops Decision Index

// 1h agoMODEL RELEASE

Liquid AI drops d1-ultra, tops Decision Index

Liquid AI released d1-ultra, a multimodal decision model that returns calibrated probabilities for yes/no, choice, and scoring questions instead of generated prose. It costs $0.042 per million input tokens and leads the Artificial Analysis Decision Index, with stronger non-hallucination performance. [Liquid AI announcement](https://www.liquid.ai/blog/d1-ultra)

// ANALYSIS

d1-ultra makes structured classification look like a more practical production primitive than chat-based inference. Its leaderboard lead is compelling, but developers should validate calibration and domain performance before treating it as a universal reasoning model.

–One-pass probability outputs can reduce latency, token waste, and parsing complexity for routing, moderation, and QA workflows.
–Text-and-image input opens useful applications in visual inspection, claims processing, and document review.
–The $0.042-per-million-input-token price, with no output-token charge, makes high-volume decisions economically attractive.
–Artificial Analysis evaluates knowledge, hallucination, reasoning, tool calling, and safety classification—not broad conversational quality. [Artificial Analysis methodology](https://artificialanalysis.ai/evaluations/artificial-analysis-decision-index)
–Liquid API availability is immediate, with Vercel and OpenRouter integrations planned, improving deployment flexibility.

// TAGS

d1-ultramultimodalreasoningbenchmarkinferenceapi

DISCOVERED

1h ago

2026-10-16

PUBLISHED

1h ago

2026-10-16

RELEVANCE

9/ 10

AUTHOR

ArtificialAnlys

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