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Subquadratic Launches SubQ 1.1 Small LLM with Competitive Benchmark Performance

By

EDM115

7d ago· 3 min readen

Summary

Subquadratic introduces SubQ 1.1 Small, a new LLM that balances long-context optimization with general reasoning. The model achieves strong benchmark scores including 85.4% on GPQA Diamond (near mid-tier frontier models), 89.7% pass@4 on LiveCodeBench (close to the absolute frontier), and 13% on AutomationBench Finance (competitive with strongest models). The article positions SubQ 1.1 Small as outperforming mid-tier and smaller baselines while approaching frontier model performance.

Source

Hacker NewsSubquadratic Launches SubQ 1.1 Small LLM with Competitive Benchmark Performancesubq.ai

Key quotes

· 4 pulled
SubQ 1.1 Small balances long-context optimization with general reasoning ability without compromise.
GPQA Diamond at 85.4% sits just below mid-tier frontier models and well above the smaller tier.
LiveCodeBench at 89.7% pass@4 is close to the absolute frontier.
AutomationBench Finance at 13% places SubQ 1.1 Small close to the strongest models on that benchmark, ahead of mid-tier and smaller baselines.
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Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.

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