Artificial Analysis Openness Index
Openness Index
Openness Index
Openness Index
Artificial Analysis Openness Index: pontuação
Componentes do índice
Artificial Analysis Openness Index: componentes
Transparência vs. disponibilidade
Artificial Analysis Openness Index: disponibilidade vs. transparência do modelo
Openness Index vs. data de lançamento
Artificial Analysis Openness Index: pontuação vs. data de lançamento
Abertura vs. inteligência
Artificial Analysis Openness Index vs. Artificial Analysis Intelligence Index
Composição do Openness Index
Metodologia de pontuação
Cada componente recebe uma pontuação em uma escala qualitativa de 0 a 3 conforme o arquétipo de abertura mais adequado. Cada modelo é avaliado com base em todas as informações públicas oficiais disponíveis.
Sintetizamos esses fatores em uma métrica unificada, o Artificial Analysis Openness Index, da seguinte forma:
- Os elementos de dados são calculados pela média entre pré e pós-treinamento (totalizando 6 pontos possíveis em dados)
- As pontuações de todos os componentes são somadas (até 18/18 pontos)
- Essa pontuação é normalizada para uma escala de 0 a 100
Modelos derivados de um modelo base de terceiros podem sofrer restrições decorrentes da licença ou da divulgação limitada do modelo original. Para versões incrementais ou atualizações, consideramos apenas divulgações explícitas sobre a nova versão (inclusive declarações sobre componentes mantidos de uma versão anterior).
Ranking do Openness Index
Criador | Modelo | Openness Index | Intelligence Index | Disponibilidade do modelo | Transparência do modelo | Acesso a dados de pré-treinamento | Licença de dados de pré-treinamento | Acesso a dados de pós-treinamento | Licença de dados de pós-treinamento | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Institute of Foundation Models | K2 Think V2 | 88,89 | 11,50 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 2 | Institute of Foundation Models | K2-V2 (High) | 88,89 | 9,87 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 3 | Institute of Foundation Models | K2-V2 (Medium) | 88,89 | 9,02 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 4 | Institute of Foundation Models | K2-V2 (Low) | 88,89 | 7,31 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 5 |  Allen Institute for AI | Olmo 3.1 32B Think | 88,89 | 7,12 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 6 | Allen Institute for AI | Olmo 3.1 32B Instruct | 88,89 | 6,50 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 7 | Allen Institute for AI | Olmo 3 32B Think | 88,89 | 6,47 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 8 | Allen Institute for AI | OLMo 2 32B | 88,89 | 5,97 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 9 | Allen Institute for AI | Olmo 3 7B Think | 88,89 | 5,62 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 10 | Allen Institute for AI | OLMo 2 7B | 88,89 | 5,58 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 11 | Allen Institute for AI | Molmo 7B-D | 88,89 | 5,56 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 12 | Allen Institute for AI | Olmo 3 7B Instruct | 88,89 | 5,24 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 13 |  Swiss AI Initiative | Apertus 70B Instruct | 88,89 | 5,11 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 14 | Swiss AI Initiative | Apertus 8B Instruct | 88,89 | 4,83 | 6,00 | 10,00 | 3,00 | 1,00 | 3,00 | 1,00 |
| 15 |  NVIDIA | Nemotron 3.5 Super VL | 83,33 | 26,49 | 6,00 | 9,00 | 2,00 | 1,00 | 2,00 | 1,00 |
Perguntas frequentes
O Artificial Analysis Openness Index é uma pontuação composta que mede o quanto os modelos de IA estão disponíveis de forma aberta e documentados com transparência, incluindo pesos, licenças, dados de treinamento, metodologia e código de treinamento.
O Artificial Analysis Openness Index pontua os modelos em uma escala qualitativa de 0 a 3 em disponibilidade — acesso aos pesos e licença — e transparência — acesso e licença dos dados de treinamento, divulgação da metodologia e publicação do pipeline de treinamento. As pontuações dos dados são calculadas pela média entre pré e pós-treinamento; depois, os componentes são somados até um máximo de 18 e normalizados para uma escala de 0 a 100.
K2 Think V2 tem atualmente a maior pontuação no Artificial Analysis Openness Index, com 89 entre os modelos com resultados publicados. Ver modelo
Modelos abertos e transparentes favorecem a reprodutibilidade, a avaliação independente, a personalização para casos de uso específicos e o uso comercial sem dependência de fornecedor. O Artificial Analysis Openness Index oferece uma pontuação única e comparável para a abertura do modelo, permitindo considerá-la junto com inteligência, velocidade e preço na escolha de um modelo.
Não. Pesos abertos significa que os pesos do modelo estão disponíveis, mas não garante a disponibilidade do código-fonte, dos dados ou métodos de treinamento nem de licenças permissivas. O Artificial Analysis Openness Index pontua esses fatores separadamente para distinguir modelos acessíveis daqueles que são amplamente abertos e transparentes.
Explorar avaliações
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SciCode Benchmark LeaderboardA scientist-curated coding benchmark featuring 288 test set subproblems from 80 laboratory problems across 16 scientific disciplines.
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CritPt Benchmark LeaderboardA benchmark designed to test LLMs on research-level physics reasoning tasks, featuring 71 composite research challenges.
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