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StarSkirmish, a platform that tracks AI model performance, has diverged from widely reported evaluations like the Artificial Analysis Intelligence Index (ρ 0.26) and Terminal-Bench 4.0. While GPT-6 Astra ranks highly on the former, it only ties for 4th on StarSkirmish. Similarly, Claude Sonnet 5.5 and Muse Wonder Full perform well on Terminal-Bench 4.0 but poorly on StarSkirmish. This suggests that heavily benchmarked evaluations might be targets for model tuning, whereas less targeted, difficult coding tasks still show correlated performance.

This report highlights a divergence in AI model performance tracking, showing StarSkirmish no longer correlates with widely reported benchmarks like the Artificial Analysis Intelligence Index, unlike its previous alignment with Terminal-Bench 4.0.