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general benchmark

AA-Index

No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

AA-Index Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

1ZAGLM-4.5Zhipu AI67.7%100.0%3CAug 11, 2026
2ZAGLM-4.5-AirZhipu AI64.8%50.0%3CAug 11, 2026
3MIMiniMax M2MiniMax61.0%0.0%3CAug 11, 2026

AA-Index Score Distribution

A closer view of the leading scores on this benchmark.

AA-Index

AA-Index Highlights

The leading models and scores on this benchmark.

Rank #1GLM-4.567.7%Rank #2GLM-4.5-Air64.8%Rank #3MiniMax M261.0%

What is AA-Index?

What AA-Index measures and how its scores work.

No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
AA-Index
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
aa-index|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about AA-Index.

Which model scores highest on AA-Index?

GLM-4.5 is currently ranked first with 67.7%.

What does AA-Index measure?

No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

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