Artificial Analysis Intelligence Index v2
Artificial Analysis's index of seven public reasoning, knowledge, math and coding benchmarks, each run by Artificial Analysis.
In use from 11 February to 4 August 2025. Components: MMLU-Pro, GPQA Diamond, Humanity's Last Exam, LiveCodeBench, SciCode, AIME 2024 and MATH-500. Z.ai's GLM-4.5 reports print an estimate over these seven.
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
GLM-4.5 leads with 67.7
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.
- 1 GLM-4.5 67.7
- 2 GLM-4.5-Air 64.8
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-4.5 | 67.7 | Aug 2025 | Model card | |
| 2 | GLM-4.5-Air | 64.8 | Aug 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Jul 2025
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 |
|---|---|---|---|
| 28 Jul 2025 | GLM-4.5 | 67.7 | AA-Index (Estimated) |
2 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| 8 Aug 2025 | GLM-4.5 technical report | 67.7 | AA-Index (Est.), Z.ai estimate over the seven reasoning benchmarks (Table 4) | Capabilities |
| 8 Aug 2025 | GLM-4.5-Air technical report | 64.8 | AA-Index (Est.), Z.ai estimate over the seven reasoning benchmarks (Table 4) | Capabilities |
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.
- 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
- 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% - Recognition of model-written user turns (Anthropic) Only in system cards Models write synthetic user turns for real Claude Code transcripts, then judge which version is real. Score is accuracy above chance. Claude Mythos Preview 0.35
- LiveBench Dropped Models answer monthly refreshed questions across math, coding, reasoning, language, instruction following, and data analysis. Scored automatically against objective ground truth. Claude Fable 5.1 85.7%
- PhiBench Dropped Models answer original prompts that Microsoft's Phi team wrote to test a wide range of skills and reasoning.
Phi-4-Reasoning-plus 74.2%