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AI model race redrawn: Practicality and collaboration trump raw intelligence

A new comparison by Claire Vo, founder of ChatPRD, highlights a shift in AI model evaluation, prioritizing practical effectiveness and collaboration over raw theoretical intelligence. Vo's benchmark, weighted heavily on human judgment, found OpenAI's GPT-5.6 Soul to be more effective for real-world tasks than Anthropic's Claude Fable, despite Fable's superior theoretical capabilities. This suggests that the ability to collaborate with an AI and its practical output are becoming key differentiators, moving beyond traditional intelligence metrics. AI

IMPACT Highlights the growing importance of collaborative capabilities and practical effectiveness in AI models, potentially shifting development focus beyond raw intelligence metrics.

RANK_REASON This item is a commentary on AI model evaluation and a comparison of existing models, rather than a release of a new model or research.

Read on dev.to — LLM tag →

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

AI model race redrawn: Practicality and collaboration trump raw intelligence

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This item is a commentary on AI model evaluation and a comparison of existing models, rather than a release of a new model or research.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Hunter G ·

    The smartest model lost — and it just redrew the 2026 AI race

    <p>The most interesting model comparison of 2026 isn't a benchmark table. It's a product exec quietly changing the question everyone asks about models — and getting a completely different ranking as a result.</p> <p>Claire Vo (founder of ChatPRD, host of the <em>How I AI</em> pod…