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title: When Newer Models Score Lower on React Native Evals
description: An analysis of React Native benchmark results showing that newer AI models (GPT-5.5 and Claude Opus 4.7) score lower than their predecessors despite not being...
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og:description: An analysis of React Native benchmark results showing that newer AI models (GPT-5.5 and Claude Opus 4.7) score lower than their predecessors despite not being...
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# When Newer Models Score Lower on React Native Evals

**[Callstack Blog](https://daily.dev/sources/callstack-blog)** · 7 min read · 0 upvotes · 0 comments

## Summary

An analysis of React Native benchmark results showing that newer AI models (GPT-5.5 and Claude Opus 4.7) score lower than their predecessors despite not being strictly weaker. GPT-5.5 tends to 'reinvent the wheel' — understanding the intent but substituting its own implementation shape for the expected API contract, such as using deprecated MasonryFlashList or collapsing separator components into row styles. Opus 4.7 exhibits a different failure mode: it consistently reframes tasks using different abstractions (e.g., switching from 'projects' to 'todos' query keys in TanStack Query tasks), suggesting it has internalized a different mental model for React Query and gesture patterns. The key insight is that benchmark scores penalize deviation from expected code contracts, meaning a model can produce working, even elegant code and still score poorly — raising questions about what coding evals actually measure.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.callstack.com/blog/when-newer-models-score-lower-on-react-native-evals>

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Tags: [#react-native](https://daily.dev/tags/react-native), [#claude](https://daily.dev/tags/claude), [#gpt](https://daily.dev/tags/gpt)

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