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Claude Opus 4.7 leads AI in code reconstruction benchmark

By PulseAugur Editorial · [1 sources] ·

Epoch AI has developed the MirrorCode benchmark to evaluate AI models' ability to reconstruct complete programs without original code. Anthropic's Claude Opus 4.7 demonstrated strong performance, successfully rebuilding a 16,000-line toolkit in 14 hours with a 56% solve rate. However, current AI models still struggle with the most complex programming tasks. AI

IMPACT This benchmark highlights current AI limitations in complex code generation and sets a new standard for evaluating AI programming capabilities.

RANK_REASON The cluster describes a new benchmark for AI models and the performance of a specific model on that benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude Opus 4.7 leads AI in code reconstruction benchmark

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The cluster describes a new benchmark for AI models and the performance of a specific model on that benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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134 days old
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COVERAGE [1]

  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/06/llm_code_generation.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> Epoch AI's new MirrorCode benchmark tests whether AI mod…

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