BenchLeader

AA Openness Index

How open a model actually is: weights, licence, training details and reproducibility. A measure of openness, not capability, so it is never part of the quality index.

As of 22 Sept 2026, K2 Think V2 leads AA Openness Index on BenchLeader with 88.9, ahead of K2 Think V2 at 88.9, across 36 model configurations with a published result.

Published by
Artificial Analysis
Category
Metadata
Index weight
Reference only
Models
36
Data as of
22 Sept 2026

Source: Artificial Analysis (artificialanalysis.ai). Data taken from the public leaderboard.

36 of 36
#
1K2 Think V2thinkingMBZUAIopen88.948.42025-12-15
2K2 Think V2highMBZUAIopen88.946.22025-12-05
3K2 Think V2mediumMBZUAIopen88.945.42025-12-05
4Olmo 3.1 32BthinkingAi2open ↗88.944.52025-12-12
5Olmo 3.1 32BAi2open ↗88.943.12026-01-13
6K2 Think V2lowMBZUAIopen88.943.12025-12-05
7Olmo 3 7B ThinkthinkingAi2open88.940.12025-11-20
8Apertus 70B InstructSwiss AIopen88.939.02025-09-02
9Olmo 3 7B ThinkAi2open88.938.82025-11-20
10Apertus 8B InstructSwiss AIopen88.937.82025-09-02
11Molmo 7B DAi2open88.934.52024-09-25
12Nemotron 3 Ultra 550B A55BthinkingNVIDIAopen ↗83.357.32026-06-04
13Nemotron 3 Super 120B A12bthinkingNVIDIAopen ↗83.351.22026-03-11
14Nemotron Cascade 2 30B A3BNVIDIAopen ↗83.350.12026-03-19
15Nemotron 3.5 LightningNVIDIAopen ↗83.348.02026-08-11
16Nemotron 3 Nano 30B A3BthinkingNVIDIAopen ↗83.347.02025-12-15
17MiniCPM5-1BthinkingOpenBMBopen83.344.52026-05-25
18MiniCPM5-1Bno reasoningOpenBMBopen83.343.82026-05-25
19Nemotron 3 Nano 4BNVIDIAopen83.343.82026-03-16
20Nemotron 3 Nano 30B A3Bno reasoningNVIDIAopen ↗83.341.72025-12-15
21Granite 4.2 30BIBMopen ↗72.249.72026-08-25
22Intellect 3Prime Intellectopen ↗72.247.12025-11-27
23Granite 4.2 8BIBMopen ↗72.246.72026-08-25
24Granite 4.2 3BIBMopen ↗72.245.52026-08-25
25Nemotron Nano 12B v2 VLthinkingNVIDIAopen72.241.92025-10-28
26DeepSeek V4 PromaxDeepSeekopen ↗44.463.72026-08-13
27GLM 5.3 FlashZhipu AIopen ↗44.463.62026-08-26
28DeepSeek V4.1 FlashmaxDeepSeekopen ↗44.461.42026-09-10
29Muse GlimmerhighMetaopen ↗44.452.52026-08-10
30Kimi K3maxMoonshot AIopen ↗38.966.72026-07-16
31Qwen3.8 27BxhighAlibabaopen ↗38.958.92026-08-14
32gpt-oss-120bhighOpenAIopen ↗38.949.22025-08-05
33GLM 5.3maxZhipu AIopen ↗33.365.42026-08-18
34MiniMax M3MiniMaxopen ↗33.357.22026-06-01
35Mistral Medium 3.5Mistral AIopen33.351.12026-04-29
36Qwen3.8 2.4T A95BAlibabaopen ↗27.864.52026-08-12

Cite as: BenchLeader, “AA Openness Index leaderboard”, https://www.benchleader.com/benchmarks/aa_openness_index, data as of 22 Sept 2026.

AA Openness Index: questions

What does AA Openness Index measure?
How open a model actually is: weights, licence, training details and reproducibility. A measure of openness, not capability, so it is never part of the quality index. Scores are reported in index; higher is better.
Which AI model leads AA Openness Index?
K2 Think V2 leads AA Openness Index with 88.9 as of 22 Sept 2026, ahead of K2 Think V2 at 88.9.
How many models have AA Openness Index results?
36 model configurations have a AA Openness Index result on BenchLeader, all taken from Artificial Analysis.
Who runs AA Openness Index and how often is it updated?
AA Openness Index is published by Artificial Analysis. BenchLeader re-reads the published results every morning and records the date each result was published.
Does AA Openness Index count toward the BenchLeader Index?
No. AA Openness Index is shown for reference but left out of the composite index.