AA Intelligence Index v4.3.2
Artificial Analysis' composite of its own evaluations (GPQA, HLE, IFBench, LCR, τ²-Bench, Terminal-Bench Hard, SciCode, AA-Omniscience and more).
As of 25 Oct 2026, Claude Opus 5.5 leads AA Intelligence Index v4.3.2 on BenchLeader with 57.6, ahead of Claude Sonnet 5.5 at 56, across 633 model configurations with a published result.
- Published by
- Artificial Analysis
- Category
- Composite
- Index weight
- 1.0
- Models
- 633
- Data as of
- 25 Oct 2026
- Newest result
- 23 Oct 2026
Source: Artificial Analysis (artificialanalysis.ai). Data taken from the public leaderboard.
What the test looks like
Artificial Analysis' composite of the evaluations it runs itself, currently including GPQA Diamond, Humanity's Last Exam, IFBench, AA-LCR, τ²-Bench Telecom, Terminal-Bench Hard, SciCode and AA-Omniscience, each run in a fixed harness.
How it is scored
An equally weighted average of the component scores, on Artificial Analysis' 0 to 100 scale. Shown for reference; BenchLeader uses the components rather than the composite.
What to keep in mind
Its membership changes between versions, which shifts every score at once. It is one publisher's view of what matters; the BenchLeader Index draws on many.
- 1Claude Opus 5.5 (max)57.6
- 2Claude Sonnet 5.5 (max)56
- 3Claude Opus 5.5 (xhigh)56.0
- 4Muse Wonder Full (max)55.8
- 5Kimi K3.1 Pro55.1
- 6Claude Opus 5.5 (high)53.6
- 7Claude Fable 5.1 (max)53.4
- 8Claude Fable 5.1 (xhigh)53.2
- 9GPT-6 Astra (max)52.7
- 10Gemini 4 Argon (high)52.6
- 11GPT-6 Astra (xhigh)52.4
- 12Muse Wonder (max)52.4
- 13Claude Sonnet 5.5 (xhigh)51.9
- 14GPT-6.1 Sol (max)51.8
- 15Claude Opus 5.5 (medium)51.2
| # | ||||
|---|---|---|---|---|
| 1 | 57.6 | 72.6 | 2026-09-22 | |
| 2 | 56 | 69.4 | 2026-09-28 | |
| 3 | 56.0 | 70.0 | 2026-09-22 | |
| 4 | 55.8 | 70.6 | 2026-10-12 | |
| 5 | New | 55.1 | 66.9 | 2026-10-23 |
| 6 | 53.6 | 69.4 | 2026-09-22 | |
| 7 | 53.4 | 70.5 | 2026-09-01 | |
| 8 | 53.2 | 69.5 | 2026-09-01 | |
| 9 | 52.7 | 70.4 | 2026-09-03 | |
| 10 | 52.6 | 70.7 | 2026-09-30 | |
| 11 | 52.4 | 68.9 | 2026-09-03 | |
| 12 | 52.4 | 67.5 | 2026-10-12 | |
| 13 | 51.9 | 67.9 | 2026-09-28 | |
| 14 | 51.8 | 69.9 | 2026-09-29 | |
| 15 | 51.2 | 66.5 | 2026-09-22 | |
| 16 | 51.1 | 69.4 | 2026-09-01 | |
| 17 | 51.0 | 67.7 | 2026-09-29 | |
| 18 | 50.9 | 69.6 | 2026-09-03 | |
| 19 | 50.8 | 68.8 | 2026-07-24 | |
| 20 | 50.2 | 67.7 | 2026-09-29 | |
| 21 | 49.7 | 67.4 | 2026-07-24 | |
| 22 | 49.6 | 69.3 | 2026-06-09 | |
| 23 | 49.6 | 67.5 | 2026-09-03 | |
| 24 | 48.9 | 67.3 | 2026-09-01 | |
| 25 | 48.1 | 67.9 | 2026-07-24 | |
| 26 | 48.1 | 67.1 | 2026-09-02 | |
| 27 | 47.8 | 67.2 | 2026-09-29 | |
| 28 | 47.6 | 66.4 | 2026-09-22 | |
| 29 | 47.0 | 68.0 | 2026-07-09 | |
| 30 | 46.8 | 65.0 | 2026-09-01 | |
| 31 | 46.8 | 65.6 | 2026-09-28 | |
| 32 | 46.5 | 61.6 | 2026-09-21 | |
| 33 | 46.3 | 63.9 | 2026-09-21 | |
| 34 | 46.3 | 64.0 | 2026-09-21 | |
| 35 | 45.8 | 65.9 | 2026-09-03 | |
| 36 | 45.4 | 63.3 | 2026-09-02 | |
| 37 | 45.1 | 64.0 | 2026-10-17 | |
| 38 | 45.1 | 64.9 | 2026-09-02 | |
| 39 | 44.8 | 64.6 | 2026-07-24 | |
| 40 | 44.8 | 63.5 | 2026-08-18 | |
| 41 | 44.3 | 62.9 | 2026-08-12 | |
| 42 | 44.2 | 64.3 | 2026-09-22 | |
| 43 | 44.2 | 62.5 | 2026-08-12 | |
| 44 | 44.0 | 66.6 | 2026-07-09 | |
| 45 | 43.9 | – | 2026-10-22 | |
| 46 | 43.7 | 60.5 | 2026-09-18 | |
| 47 | 43.6 | 64.8 | 2026-07-16 | |
| 48 | 43.4 | 60.5 | 2026-10-07 | |
| 49 | 42.8 | 64.2 | 2026-08-12 | |
| 50 | New | 42.7 | 61.9 | 2026-10-19 |
| 51 | 42.4 | 63.7 | 2026-09-22 | |
| 52 | 42.4 | 66.3 | 2026-07-09 | |
| 53 | 42.3 | 64.7 | 2026-09-22 | |
| 54 | 42.2 | 61.0 | 2026-09-21 | |
| 55 | 42.1 | 64.9 | 2026-09-29 | |
| 56 | 42.1 | 64.4 | 2026-07-09 | |
| 57 | 41.8 | 62.7 | 2026-08-26 | |
| 58 | 41.8 | 63.3 | 2026-05-28 | |
| 59 | 41.3 | 61.5 | 2026-10-07 | |
| 60 | 40.9 | 64.4 | 2026-09-02 |
More composite benchmarks · All LLM benchmarks
Cite as: BenchLeader, “AA Intelligence Index v4.3.2 leaderboard”, data as of 25 Oct 2026, https://www.benchleader.com/benchmarks/aa_intelligence_index.
AA Intelligence Index v4.3.2: questions
- What does AA Intelligence Index v4.3.2 measure?
- Artificial Analysis' composite of the evaluations it runs itself, currently including GPQA Diamond, Humanity's Last Exam, IFBench, AA-LCR, τ²-Bench Telecom, Terminal-Bench Hard, SciCode and AA-Omniscience, each run in a fixed harness. Scores are reported in index; higher is better.
- Which AI model leads AA Intelligence Index v4.3.2?
- Claude Opus 5.5 leads AA Intelligence Index v4.3.2 with 57.6 as of 25 Oct 2026, ahead of Claude Sonnet 5.5 at 56.
- How many models have AA Intelligence Index v4.3.2 results?
- 633 model configurations have a AA Intelligence Index v4.3.2 result on BenchLeader, all taken from Artificial Analysis.
- Who runs AA Intelligence Index v4.3.2 and how often is it updated?
- AA Intelligence Index v4.3.2 is published by Artificial Analysis. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does AA Intelligence Index v4.3.2 count toward the BenchLeader Index?
- Yes. AA Intelligence Index v4.3.2 contributes to the composite category of the BenchLeader Index, normalised so that 50 is the average of the evaluated models.