Artificial Analysis Intelligence Index v4.1
Version 4.1 of Artificial Analysis's index, which moved to GDPval-AA v2, Terminal-Bench 2.1 and τ³-Banking and put the most weight on agents.
In use from June to September 2026, with 4.1.1 (August 2026) changing the τ³-Banking dataset and the graders for HLE, AA-LCR and AA-Omniscience. Components: GDPval-AA v2, τ³-Banking, Terminal-Bench 2.1, SciCode, AA-LCR, AA-Omniscience (accuracy 8%, non-hallucination 4%), Humanity's Last Exam, GPQA Diamond and CritPt. Weights: Agents 34%, Coding 24%, Scientific Reasoning 24%, General 18%. IFBench left the index.
- Made by
- Artificial Analysis
- Released
- June 2026
- Kind
- Composite indices
- Scored
- Checked automatically
- Answers
- Agent task
- Strongest model tested
- GPT-5.6 Sol #13 on the capability index
- Last in a launch post
- August 2026
- Last model added
- August 2026
Grok 4.6 leads with 61.0 among models released by August 2026
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.
The newest model with a score here came out in August 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 14 more
- 1 Grok 4.6 61.0
- 2 GPT-5.6 Sol 58.9
- 3 Kimi K3 57.1
- 4 GLM-5.3-Flash 57.0
- 5 Gemini 3.7 Flash 56.0
- 6 GPT-5.6 Terra 55.0
- 7 GPT-5.6 Luna 51.2
- 8
Inkling-Small 40.0
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok 4.6 | 61.0 | Aug 2026 | Lab model card | |
| 2 | GPT-5.6 Sol | 58.9 | Jul 2026 | Lab model card | |
| 3 | Kimi K3 | 57.1 | Jul 2026 | Lab model card | |
| 4 | GLM-5.3-Flash | 57.0 | Aug 2026 | Lab model card | |
| 5 | Gemini 3.7 Flash | 56.0 | Aug 2026 | Lab model card | |
| 6 | GPT-5.6 Terra | 55.0 | Jul 2026 | Lab model card | |
| 7 | GPT-5.6 Luna | 51.2 | Jul 2026 | Lab model card | |
| 8 | Inkling-Small | 40.0 | Jul 2026 | Lab model card |
2 models have held number one in labs’ own numbers since its release in June 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
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
5 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 |
|---|---|---|---|
| Aug 26, 2026 | GLM-5.3-Flash | 57 | AA Intelligence Index v4.1.1, 57 |
| Aug 13, 2026 | Gemini 3.7 Flash | 56 | Artificial Analysis Intelligence Index |
| Aug 12, 2026 | Grok 4.6 | 61 | AA Intelligence Index |
| Jul 30, 2026 | Inkling-Small | 40 | AA Index v4.1 |
| Jul 9, 2026 | GPT-5.6 Luna | 51.2 | Artificial Analysis Intelligence Index v4.1 |
| Jul 9, 2026 | GPT-5.6 Terra | 55 | Artificial Analysis Intelligence Index v4.1 |
| Jul 9, 2026 | GPT-5.6 Sol | 58.9 | Artificial Analysis Intelligence Index v4.1 (Sol, max) |
3 system cards report it, from 3 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Aug 13, 2026 | Gemini 3.7 Flash model card | 56 | Artificial Analysis Intelligence Index (results table, p.5) | Capabilities |
| Jul 30, 2026 | Inkling-Small model card | 40 | AA Index v4.1 (5. Evaluations table) | Capabilities |
| Jul 27, 2026 | Kimi K3 technical report | 57.1 | Artificial Analysis Intelligence Index v4.1, rank 4 of 580 (Table 5) | Other |
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%