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SWE-1.7: A New Frontier AI Model Achieves High Performance at Reduced Cost

SWE-1.7 is a new AI model launched by a research team that achieves frontier-level intelligence at significantly lower cost. The model represents broad improvements across their reinforcement learning pipeline, including better infrastructure, more stable training, higher-quality data, and new techniques for long-horizon tasks. The article details the technical advancements and cost-performance advantages of this model.

mekpro5h ago18 min readen
Read on cognition.com

Key quotes

Today, we're launching SWE-1.7, the most capable model we've trained so far.
It reaches frontier-level intelligence at a much lower cost, advancing the cost-performance Pareto curve.
SWE-1.7 is the result of broad improvements across our RL pipeline: better infrastructure, more stable training, higher-quality data, and new techniques for long-horizon tasks.

From the article

Today, we’re launching SWE-1.7, the most capable model we’ve trained so far. It reaches frontier-level intelligence at a much lower cost, advancing the cost-performance Pareto curve.
Continue reading on cognition.com

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