What happened
On October 27, 2026, Artificial Analysis published version 5 of its Intelligence Index, a 0 to 100 composite of nine evaluations. It calls v5 its biggest upgrade since v4 launched in January, and says 60% of the index now rests on private test sets or held-out answers. It launched a separate Progress Index v1 for tracking capability over time.
- Four categories at 25% each: Knowledge Work, Coding, Science and General.
- New: FrontierCode 2.0 (15%) and Terminal-Bench-Science (15%).
- Upgraded: HLE-Diamond, AA-Omniscience v1.1 and a 40-question hard subset of CritPt v2.
- Removed: GDPval-AA v2.1, SciCode and AA-LCR v1.1.
Key results
All figures are Artificial Analysis's, at the effort level shown.
- Claude Opus 5.5 (max) 58, GPT-6 Astra (max) 57, GPT-6.1 Sol (max) 55; Gemini 4 Argon (high) 50.
- Top open weights model: Kimi K3.1 Pro at 46, weights not yet released, 12 points behind against a 3-point gap in v4.3. Among released weights, DeepSeek V4.1 Flash 1017 and GLM-5.3 lead at 32.
- Cost per index task among the top 10: from $0.96 for GPT-6.1 Terra (max) to $13.04 for Claude Fable 5.1 (max); Opus 5.5 $10.04, Astra $6.24, Sol $1.27.
- No model leads all nine: Opus 5.5 leads three, including FrontierCode 2.0 at 46%; Astra leads Terminal-Bench-Science (63%) and CritPt v2 (72%).
- Median output tokens per task rose from 35k in v4.3 to 59k.
What it means for you
Effort settings now move scores a lot: Opus 5.5 ranges from 35 at low effort to 58 at max, at ten times the cost per task. When you compare models, check which effort a score refers to and what it costs to reach it.
The index is mainly text-based and English-language, according to the methodology page, so image, speech and multilingual work need separate evidence.
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Sources & further reading
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