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Xiaomi's MiMo model surpasses Claude Opus 4.7 in coding tasks

Xiaomi's 1-trillion-parameter MiMo model reportedly outperformed Anthropic's Claude Opus 4.7 on a set of 18 coding tasks. The MiMo model achieved this by processing a significantly lower token count compared to Claude Opus 4.7, which consumed over 3.8 million tokens. This comparison highlights MiMo's potential efficiency and effectiveness in complex coding scenarios. AI

IMPACT Demonstrates potential for highly efficient and capable coding models, challenging established benchmarks.

RANK_REASON Comparison of model performance on specific tasks, not a new model release from a frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

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Xiaomi's MiMo model surpasses Claude Opus 4.7 in coding tasks

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Comparison of model performance on specific tasks, not a new model release from a frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
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127 days old
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Chew Loong Nian - AI ENGINEER ·

    I Tested Xiaomi's 1-Trillion-Parameter MiMo on 18 Coding Tasks — It Embarrassed Claude Opus 4.7

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/i-tested-xiaomis-1-trillion-parameter-mimo-on-18-coding-tasks-it-embarrassed-claude-opus-4-7-f7f348d6b597?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/16…