Subquadratic launches SubQ Snap 1.1, an enterprise-ready decision model
The update features tied for #1 AI Decision Index ranking, calibrated uncertainty, and a 20% price drop to $0.04 per million tokens.
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In short: Subquadratic’s SubQ Snap 1.1 tied for first on the Decision Index and cut its price to $0.04.
The update features tied for #1 AI Decision Index ranking, calibrated uncertainty, and a 20% price drop to $0.04 per million tokens.
Snap processes up to 384K tokens for enterprise agents at $0.05 per million input tokens with improved efficiency over Jev.
The company achieves up to 12 million token retrieval with 1,000x compute reduction.
The model achieves near-perfect retrieval up to 12M tokens with 64.5x less compute than dense attention.
SubQ Snap 1.1 ties d1-ultra and Elephant 9B at 65 on the Decision Index v1.0. The three leaders sit 8 points above the next model...
San Francisco startup Subquadratic has released its decision model, SubQ Snap, which supports a context window of up to 384K tokens, approximately 12 times that of its competitor Jev. The model employs a sparse attention architecture, processing 100K tokens in about one second, and is priced at $0.05 per million input tokens. It is currently in public preview, with benchmark test results published internally by the company...
SubQ Snap has a 12x larger context window than Jev, and outperforms the category leader across the decision model benchmarks ...
The new large language model, dubbed SubQ, uses what the company calls a subquadratic architecture that greatly increases the context window — how much information...
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