Artificial Analysis (@ArtificialAnlys) · 10/23/2026, 04:02:50
SubQ Snap 1.1 Ties for Top Decision Model Spot via Low Hallucination
Subquadratic released SubQ Snap 1.1, tying with d1-ultra and Elephant 9B for the top spot on the Artificial Analysis Decision Index. The model distinguishes itself with a low hallucination rate (86%) and a 384K context window, priced at $0.04 per 1M input tokens. While its raw accuracy is lower than competitors, its high non-hallucination rate drives its decision-making reliability.
SOURCE COVERAGEFull Original Report
Artificial Analysis (@ArtificialAnlys) · 2026-10-22 20
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 32), and ~3.6x the cost of Elephant 9B ($8.4), which scores the same 65.
