Claude Sonnet 5.5 shows lower mergeable code at max, per test
According to DeepLearning.AI, Claude Sonnet 5.5 produced less mergeable code at its max reasoning setting than at xhigh while consuming more tokens, underscoring the need to benchmark settings before deployment.
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According to a post from DeepLearning.AI on October 21, 2026, maximum reasoning settings do not always deliver the best outcomes for Claude Sonnet 5.5.
The model produced less mergeable code at the highest reasoning level than at the xhigh level immediately below it, while also consuming more tokens than any model measured in the test. The post recommends testing settings before relying on them and points to an article on the deeplearning.ai site for further details on the Claude model family.
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