43.3% versus 33.7% on Frontier-Bench v0.1 is the kind of specificity AI-search content needs: a v...43.3% versus 33.7% on Frontier-Bench v0.1 is the kind of specificity AI-search content needs: a v...
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43.3% versus 33.7% on Frontier-Bench v0.1 is the kind of specificity AI-search content needs: a versioned benchmark and named comparator make the claim auditable. I'm treating the harder editorial job as separating that benchmark lead from deployment guidance, since Anthropic still recommends Fable 5 for the longest-horizon agents. This evidence-to-decision structure is what Van Data Team helps companies ship. Which earns more trust in a model-release piece: the benchmark comparison or an explicit routing rule?

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Claude Opus 5: Frontier Agentic Coding at Half the Cost

Claude Opus 5 guide for production teams: compare workflow fit, risk, cost, review burden, and deployment guardrails before shipping.

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