AA-3D: Interactive 3D Experience Benchmark
AA-3D
Ranking do AA-3D
Faixa | Modelo | Elo | |
|---|---|---|---|
| 1 | 1-3 | Claude Sonnet 5.5 (Max, Default Fallback) | 1194±34Intervalo de 95%: 1160 a 1228 |
| 2 | 1-3 | Claude Opus 5.5 (Max, Default Fallback) | 1190±35Intervalo de 95%: 1155 a 1225 |
| 3 | 1-4 | GPT-6 Astra (Max) | 1165±34Intervalo de 95%: 1131 a 1199 |
| 4 | 4-6 | Claude Fable 5.1 (Max, Default Fallback) | 1131±34Intervalo de 95%: 1098 a 1165 |
| 5 | 4-6 | GPT-6 Sol (Max) | 1123±34Intervalo de 95%: 1089 a 1156 |
| 6 | 4-6 | GPT-6.1 Sol (Max) | 1114±33Intervalo de 95%: 1081 a 1148 |
| 7 | 7 | Muse Spark 1.3 (Max) | 1035±32Intervalo de 95%: 1003 a 1067 |
| 8 | 8 | GPT-6 Luna (Max) | 1000ÂncoraFixado em 1000 como ponto de referência da escala Elo deste ranking. |
| 9 | 8-13 | Claude Haiku 5.5 (Max) | 994±32Intervalo de 95%: 962 a 1026 |
| 10 | 8-13 | Grok 4.7 (Xhigh) | 994±32Intervalo de 95%: 962 a 1026 |
| 11 | 8-13 | Kimi K3 (Max) | 982±33Intervalo de 95%: 949 a 1015 |
| 12 | 8-14 | MiMo-V2.6-Pro | 977±32Intervalo de 95%: 945 a 1009 |
| 13 | 9-14 | Gemini 3.8 Flash (High) | 965±32Intervalo de 95%: 932 a 997 |
| 14 | 12-15 | Qwen3.8 Max (0902) | 948±32Intervalo de 95%: 916 a 981 |
| 15 | 14-15 | GLM-5.3-Flash | 931±32Intervalo de 95%: 899 a 963 |
| 16 | 16-17 | Mistral Large 4 Preview | 868±32Intervalo de 95%: 835 a 900 |
| 17 | 16-17 | Step 5 Preview | 848±33Intervalo de 95%: 814 a 881 |
| 18 | 18 | GLM-5.3 (Max) | 782±35Intervalo de 95%: 747 a 816 |
| 19 | 19 | MiniMax-M3 | 739±34Intervalo de 95%: 704 a 773 |
| 20 | 20-21 | Inkling (Xhigh) | 579±41Intervalo de 95%: 538 a 620 |
| 21 | 20-21 | Nemotron 3 Ultra 550B A55B (Reasoning) | 569±45Intervalo de 95%: 524 a 614 |
AA-3D Elo
AA-3D Elo
AA-3D: Elo vs. custo por tarefa
Tarefas de exemplo
Escolha um domínio, uma tarefa e um modelo para carregar a cena que esse modelo criou.
Tarefa
Modelo
Create an interactive adult man performing weightlifting exercises, with views that expose his muscles, skeleton and organs in anatomically accurate form.
21 de 21 modelos têm uma cena para esta tarefa na votação cega.
Elo vs. Intelligence Index
Elo do AA-3D vs. Intelligence Index
Taxa de vitórias por domínio
Cada célula mostra a parcela dos votos que um modelo venceu em um domínio de tarefas, com base nos votos do ranking atual. A visão equilibrada por adversário tira a média das taxas de vitórias do modelo contra cada adversário do domínio, para que cada adversário conte igualmente.
Taxa de vitórias do AA-3D por domínio
Custo
AA-3D: custo por tarefa
Uso de tokens
AA-3D: tokens de saída por tarefa
Turnos por cena
Turnos por cena do AA-3D
Uso de ferramentas
Chamadas de ferramentas por cena do AA-3D
Como o AA-3D funciona
Cada modelo trabalha como agente em um sandbox offline. Ele recebe uma descrição escrita de uma cena interativa e um contrato de entrega comum a todas as tarefas. O modelo escreve código, renderiza a cena, analisa as próprias capturas de tela e faz revisões. Ele tem à disposição Blender, física Rapier, Python, um navegador headless e uma biblioteca de recursos CC0. Uma execução termina após 3 horas ou 250 turnos. O resultado é uma página index.html que executa a cena em um navegador.
Por dentro de uma execução do agente
Estas reproduções usam os dados do lançamento do AA-3D. Escolha uma tarefa para reproduzir a execução de cada modelo em um relógio compartilhado. Passe o cursor sobre uma linha para ver cada ação e clique nela para ver para onde foi o tempo.
Veja uma cena sendo criada
Pontuação vs. data de lançamento
AA-3D: pontuação vs. data de lançamento
Perguntas frequentes
O AA-3D v1.0 mede o quão bem os modelos de IA criam experiências 3D interativas. Cada modelo recebe uma descrição escrita da tarefa e cria uma única página web com three.js em um sandbox offline. O benchmark tem 55 tarefas em 7 domínios. Leia a metodologia do AA-3D
Os modelos são classificados com um sistema de pontuação Elo derivado de comparações às cegas feitas pelo nosso painel humano recrutado. Os participantes do painel interagem com duas cenas criadas para a mesma tarefa e escolhem a que preferem, sem saber qual modelo criou cada uma. Pontuações Elo mais altas indicam que um modelo é preferido com mais frequência. Experimente a Votação do AA-3D
Explorar avaliações
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