Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.1 - composite benchmark across reasoning, knowledge, math, coding. Incorporates 9 evaluations: GDPval-AA v2, tau3-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR.
Category
Composite
Score type
index
Scale
100.0
higher is better
Models tested
3
What is Artificial Analysis Intelligence Index?
The Artificial Analysis Intelligence Index is a composite number: results from many individual evaluations (reasoning, math, code, knowledge and more) are combined into one index. It is ideal for a quick overall picture, but it cannot show which individual skill is strong or weak — look at the individual benchmarks for that.
What does it test?
Artificial Analysis Intelligence Index measures an aggregated index computed from several underlying benchmarks. In detail, it checks:
- aggregate performance from many different benchmarks
- coverage: how broadly a model is capable
- weighting across reasoning, knowledge, math and coding areas
- comparability across vendors, because the harness is fixed
How to read the score
The score is a composite index published by the benchmark organiser rather than a plain percentage. Interpret it only against the other models in the table — higher is better.
Frequently asked questions
What is the Artificial Analysis Intelligence Index benchmark?
The Artificial Analysis Intelligence Index is a composite number: results from many individual evaluations (reasoning, math, code, knowledge and more) are combined into one index. It is ideal for a quick overall picture, but it cannot show which individual skill is strong or weak — look at the individual benchmarks for that.
What does Artificial Analysis Intelligence Index test?
Artificial Analysis Intelligence Index mainly measures an aggregated index computed from several underlying benchmarks. Concretely, it checks: aggregate performance from many different benchmarks; coverage: how broadly a model is capable; weighting across reasoning, knowledge, math and coding areas.
How is the Artificial Analysis Intelligence Index score calculated?
The score is a composite index published by the benchmark organiser rather than a plain percentage. Interpret it only against the other models in the table — higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get Artificial Analysis Intelligence Index data and scores?
The official source is https://artificialanalysis.ai/methodology/intelligence-benchmarking. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/aa-intelligence-index/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
GLM-5.3-Flash
Zhipu AI
|
57 idx
|
27.08.2026 | Report | Verified |
| 2 |
Muse-Spark-Open-816B-A42B
Meta Superintelligence Lab
|
39 idx
|
15.10.2026 | Report | Verified |
| 3 |
Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
|
32 idx
|
16.04.2026 | Artificial Analysis (independent) | Unverified |