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AIHot· noreply@aihot.news (Artificial Analysis)·· 10 天前AI 评分61

Liquid AI 发布 d1-ultra,登顶 Artificial Analysis Decision Index v1.0

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Liquid AI 发布全新决策模型 d1-ultra,以 65 分登顶 Artificial Analysis Decision Index v1.0。该模型在 AA-Omniscience-Decision 上的非幻觉率大幅提升至 85%,不过准确率降至 32%,单任务耗时 92 ms,输入 token 定价为每百万 tokens 0.042 美元。

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Artificial Analysis· @ArtificialAnlys · X·2026-10-16 19:11· 19 分钟前AI 评分52

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Liquid AI 发布决策模型 d1-ultra,以 65 分登顶 Artificial Analysis Decision Index v1.0,领先 Jev 1.14 的 57 分。

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Liquid AI has released d1-ultra, taking the #1 position on the Artificial Analysis Decision Index v1.0, supported by a reduction in hallucinations

d1-ultra is the new decision model from @liquidai and follows on from their release of d1 earlier this month. It is priced at $0.042 per 1M input tokens compared to $0.02 per 1M input tokens for d1. Like d1, d1-ultra is billed only on input tokens.

Key takeaways:

➤ d1-ultra leads the Artificial Analysis Decision Index v1.0 with a score of 65: d1-ultra scores 65, ahead of the recently released Jev 1.14 at 57 and GLiDE and Microsoft-Decision-1 at 54

➤ d1-ultra’s score of 65 is driven by a much lower hallucination rate on AA-Omniscience-Decision: d1-ultra’s non-hallucination rate on AA-Omniscience-Decision is 85%, up substantially compared to d1 at 2%. The non-hallucination rate is the share of questions not answered correctly where the model chose "I don't know" and measures how well a decision model can judge its own knowledge in knowing when not to answer. While d1-ultra’s hallucination rate decreases, so does its accuracy (% questions correct). It achieves an accuracy of 32%, down 9 points compared to d1 (41%)

➤ d1-ultra has the third lowest Time per Task of any decision model: d1-ultra achieves a Time per Task of 92 ms, the third lowest of decision models measured, behind Jev 1.14 at 78 ms per task and Celeris-1 Decision at 63 ms per task

➤ d1-ultra offers comparable pricing to other decision models at $32 per 1M tasks: At $32 per 1M tasks, d1-ultra is comparably priced to Celeris-1 Decision ($32 per 1M tasks) and Microsoft-Decision-1 ($31 per 1M tasks), more than double the price of d1 and Mercury Decide at $15 per 1M tasks but less than half the price of GPT-6 Luna (Decisions) at $79 per 1M tasks

来源:Artificial Analysis · x.com

来源:AIHot · aihot.news