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Artificial Analysis releases Intelligence Index v5 with private datasets

Artificial Analysis has launched version 5 of its Intelligence Index, a composite measure of AI model capabilities. This update marks the first time the majority of the index relies on private datasets, with 60% of evaluations now using private test sets or held-out answers to prevent contamination. The new index introduces two benchmarks: FrontierCode 2.0, a private coding test from Cognition,…

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Key points

  • Intelligence Index v5 uses 60% private datasets to prevent benchmark contamination.
  • Claude Opus 5.5 leads with a score of 58, ahead of GPT-6 Astra at 57.
  • Open-weight models trail the leader by 12 points, a gap that widened from 3 points.

Claude Opus 5.5 (max) leads the new index with a score of 58, narrowly ahead of GPT-6 Astra (max) at 57 and GPT-6.1 Sol (max) at 55. Anthropic and OpenAI models occupy the top five positions. The gap between closed and open-weight models has widened significantly; the best open-weight model, Kimi K3.1 Pro, scores 46, trailing the leader by 12 points compared to a 3-point gap in the previous version. Among released open weights, DeepSeek V4.1 Flash 1017 and GLM-5.3 lead at 32.

The update highlights substantial cost variations, with GPT-6.1 Terra being the cheapest at $0.96 per task and Claude Fable 5.1 the most expensive at $13.04. Artificial Analysis also introduced the Progress Index v1, which tracks model capability over time on a continuous scale for models released since November 2022.

Model pages: Claude Opus 5.5 → · GPT-6 Astra → · GPT-6.1 Sol →

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Full story from artificialanalysis.ai · by Artificial Analysis · via Hacker NewsOpen source ↗

Artificial Analysis Intelligence Index v5

artificialanalysis.ai · 28 October 2026

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