---
format: "aidr-story-markdown/v1"
id: "75c74e78bf10de6cf61d65a9f71e8ede766da9d658959c2fba73706af0f4bbe5"
canonical_url: "https://aidr.today/75c74e78?lang=en"
title: "Subquadratic Model Ties for First on Decision Index With 384k Context Window"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-22T20:24:08.000Z"
category: "Models"
topics: ["llm"]
source_urls: ["https://marketbrief.now/ai/subquadratic-model-ties-for-first-on-decision-index-with-384k-context-wi-4d7ebefa","https://huggingnews.com/ai/subquadratic-model-ties-for-first-on-decision-index-with-384k-context-wi-4d7ebefa"]
summary: "Subquadratic released SubQ Snap 1.1, a decision model using Subquadratic Sparse Attention that tied for first place on the Artificial Analysis Decision Index v1.0 with a score of 65, matching d1-ultra and Elephant 9B. The model supports a 384k token context window, scored 96.2 on When2Call benchmarks, and is priced at $0.04 per 1M input tokens with no charge for output."
---

# Subquadratic Model Ties for First on Decision Index With 384k Context Window

> [Open the canonical story](<https://aidr.today/75c74e78?lang=en>)

**Published:** 2026-10-22T20:24:08.000Z
**Category:** Models
**Topics:** llm

## Summary

Subquadratic released SubQ Snap 1\.1, a decision model using Subquadratic Sparse Attention that tied for first place on the Artificial Analysis Decision Index v1\.0 with a score of 65, matching d1\-ultra and Elephant 9B\. The model supports a 384k token context window, scored 96\.2 on When2Call benchmarks, and is priced at $0\.04 per 1M input tokens with no charge for output\.

## Sources

- [Story source](<https://marketbrief.now/ai/subquadratic-model-ties-for-first-on-decision-index-with-384k-context-wi-4d7ebefa>)
- [Story source](<https://huggingnews.com/ai/subquadratic-model-ties-for-first-on-decision-index-with-384k-context-wi-4d7ebefa>)