Artificial Analysis Intelligence Index v3
MiniMax-M2 61.0 Version 3 of Artificial Analysis's index, ten evaluations that added agentic terminal and tool-use tasks to the knowledge, math and coding tests.
In use from 2 September to December 2025. Components: MMLU-Pro, GPQA Diamond, Humanity's Last Exam, AIME 2025, SciCode, LiveCodeBench, IFBench, AA-LCR, Terminal-Bench Hard and τ²-Bench Telecom. Top models scored about 73.
- Made by
- Artificial Analysis
- Released
- September 2025
- Kind
- Composite indices
- Scored
- Checked automatically
- Answers
- Agent task
- Last in a launch post
- October 2025, dropped for a newer version
- Last model added
- October 2025
MiniMax-M2 leads with 61.0
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.
- 1 MiniMax-M2 61.0
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | MiniMax-M2 | 61.0 | Oct 2025 | 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
Labs moved on to Artificial Analysis Intelligence Index v4.0
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 |
|---|---|---|---|
| Oct 27, 2025 | MiniMax-M2 | 61 | AA Intelligence |
| Sep 25, 2025 |  Gemini 2.5 Flash | Artificial Analysis Intelligence Index (scatter chart, no printed value) |
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%