Subquadratic 发布 SubQ Snap 1.1 决策模型
Subquadratic has released SubQ Snap 1.1, tying d1-ultra and Elephant 9B for first on the Artificial Analysis Decision Index v1.0, driven by a low hallucination
Subquadratic 发布决策模型 SubQ Snap 1.1，在 Artificial Analysis Decision Index v1.0 上得 65 分，与 d1-ultra、Elephant 9B 并列第一，领先第三名 Jev 1.14（57）8 分。其非幻觉率 86%，仅次于 Elephant 9B 的 93%，高于 d1-ultra 的 85%；准确率 20%，HLE-MultiChoice 得 18%。输入价格 $0.04/1M tokens，上下文窗口 384K，每 1M 任务成本 $30，约为同分 Elephant 9B（$8.4）的 3.6 倍。
正文
Subquadratic has released SubQ Snap 1.1, tying d1-ultra and Elephant 9B for first on the Artificial Analysis Decision Index v1.0, driven by a low hallucination rate
SubQ Snap 1.1 is the new decision model from @subquadratic. It is priced at $0.04 per 1M input tokens and supports a 384K token context window, compared to 32K for d1-ultra and 16K for Elephant 9B.
Key takeaways: ➤ SubQ Snap 1.1 scores 65 on the Artificial Analysis Decision Index v1.0, tied with d1-ultra and Elephant 9B: the three models are 8 points ahead of the next model, Jev 1.14 (57).
➤ SubQ Snap 1.1's AA-Omniscience-Decision result is driven by a low hallucination rate: its non-hallucination rate of 86% is second only to Elephant 9B (93%), ahead of d1-ultra (85%). Its accuracy is 20%, compared to 32% for d1-ultra and 12% for Elephant 9B. The non-hallucination rate is the share of questions not answered correctly where the model chose "I don't know".
➤ SubQ Snap 1.1 scores 18% on HLE-MultiChoice: level with Elephant 9B (18%) and ahead of d1-ultra (15%). HLE-MultiChoice is the text-only multiple-choice subset of Humanity's Last Exam.
➤ SubQ Snap 1.1 costs $30 per 1M tasks: comparable to d1-ultra ($32), and ~3.6x the cost of Elephant 9B ($8.4), which scores the same 65.