Artificial Analysis Intelligence Index v5
Version 5 of Artificial Analysis's index: nine evaluations in four equal categories, most with private test sets, run three times each in its own agent harness.
Released 27 October 2026. Knowledge Work: AA-Briefcase v1.1 15%, AutomationBench-AA 5%, GDP.pdf 5%. Coding: FrontierCode 2.0 15%, Terminal-Bench 4.0 10%. Science: Terminal-Bench-Science 15%, CritPt v2 hard subset 10%. General: AA-Omniscience v1.1 15% (accuracy 10%, non-hallucination 5%), HLE-Diamond 10%. Dropped GDPval-AA, SciCode, AA-LCR and Humanity's Last Exam. Earlier versions have their own records. Scores do not compare across versions. The almanac imports no Artificial Analysis data: its scores here are what labs quote.
- Made by
- Artificial Analysis
- Released
- October 2026
- Kind
- Composite indices
- Scored
- Checked automatically
- Answers
- Agent task
- Strongest model tested
-
Gemini 4 Carbon #2 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
Gemini 4 Carbon leads with 59.0
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 59.0 | Oct 2026 | Lab model card | |
| 2 | | 30.6 | Nov 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
2 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Nov 5, 2026 | 30.6 | AA Index (v5.0) | |
| Oct 28, 2026 | 59 | AA Index v5.0 |
Versions
More in Other
- Personal Superintelligence Index (Meta) In use Meta's composite of seven personal and knowledge-work evals: Agents' Last Exam, AutomationBench-AA, FocusBench, JobBench, GDP.pdf, VBT and DRACO.
- SAGE v1.1 (Vals) In use Models grade handwritten undergraduate math and computer science work against rubrics. Scored by class-balanced accuracy of each rubric check against expert grading. Claude Opus 5.5 91.3%
- MTEB Fading Massive Text Embedding Benchmark: retrieval, clustering, classification across languages and modalities.
sonar 42%
- Anthropic ECI (AECI) Only in system cards Index that combines a basket of capability benchmarks into one capability score to track trends across Anthropic models. Claude Opus 5.5 169.4
- SPEED-Bench Only in system cards Measures speculative decoding across varied prompts and domains. Reports the average acceptance length of draft tokens, so higher means faster generation at the same output.
Nemotron 3 Ultra 5.15
- Qwen in-house English automatic evaluation Only in system cards Models answer Qwen in-house English datasets on knowledge, comprehension, coding, math and related skills. Skills and weights change between reports.
Qwen2-72B 72.9%