Harvey LAB-AA v1.1 Benchmark Leaderboard
Novidades da v1.1
A v1.1 substitui a v1.0, e as pontuações não são comparáveis entre versões. Os estudos da Harvey com profissionais do direito constataram que as alucinações são um fator principal na escolha dos resultados preferidos pelos advogados, por isso colaboramos com a Harvey para adicionar uma verificação de alucinações à pontuação.
- O conjunto de dados privado mais recente da Harvey, com melhorias nas tarefas e nos critérios
- Uma nova verificação de alucinações em cada entregável com base nos documentos-fonte da tarefa, com alucinações materiais penalizadas na pontuação
- Avaliadores atualizados para GPT-6 Sol, Grok 4.7 e Claude Opus 5.5. Encontramos autopreferência mínima e tiramos a média dos três para mitigar qualquer viés
Harvey LAB-AA v1.1
Pontuação
Harvey LAB-AA v1.1: Taxa de aprovação total com filtro de alucinações
Alucinações
Harvey LAB-AA v1.1: Alucinações por tarefa
Taxa de quase aprovação com filtro de alucinações
Harvey LAB-AA v1.1: Taxa de quase aprovação com filtro de alucinações
Comparações de pontuação
Harvey LAB-AA v1.1: Taxa de aprovação total com filtro de alucinações vs. Artificial Analysis Intelligence Index
Custo
Harvey LAB-AA v1.1: custo por tarefa
Uso de tokens
Harvey LAB-AA v1.1: tokens de saída por tarefa
Velocidade
Harvey LAB-AA v1.1: tempo por tarefa
Turnos
Harvey LAB-AA v1.1: Turnos médios por tarefa
Pontuação por área de prática
Harvey LAB-AA v1.1: Taxa de aprovação total com filtro de alucinações por área de prática (normalizado)
Tamanho do modelo (somente modelos de pesos abertos)
Harvey LAB-AA v1.1: Taxa de aprovação total com filtro de alucinações vs. Parâmetros totais
Pontuação vs. data de lançamento
Harvey LAB-AA v1.1: Taxa de aprovação total com filtro de alucinações vs. Data de lançamento
Exemplos de tarefas e entregas
Explore tarefas representativas do conjunto público de Harvey LAB, os arquivos de referência fornecidos a cada modelo e os entregáveis que produziu.
Instruções
Review the attached acquisition data room contracts and internal memo for change of control and assignment provisions, and prepare a comprehensive deal team report.
Output: coc-analysis-report.docx
Entregáveis
Resultados que o modelo deve produzir
- coc-analysis-report.docxA comprehensive deal team report analyzing change of control and assignment provisions across the target’s material contracts.
Arquivos de referência
Fornecidos ao modelo
Entregas dos modelos
Entregáveis produzidos por cada modelo
Classificação
Criador | Nome | Hallucination-Gated All-Pass Rate | Criterion Pass Rate | Alucinações relevantes por tarefa | Custo por tarefa | Data de lançamento | |
|---|---|---|---|---|---|---|---|
| 1 |  Meta | Muse Wonder Full (Max) | 13.1% | 95.5% | 0.62 | - | out. de 2026 |
| 2 | Meta | Muse Wonder (Max) | 10.0% | 95.1% | 0.89 | $13.86 | out. de 2026 |
| 3 |  SpaceXAI | Grok 4.7 (Xhigh) | 9.4% | 92.8% | 0.74 | $9.49 | set. de 2026 |
| 4 | Meta | Muse Spark 1.3 (Max) | 8.9% | 96.0% | 1.68 | $4.21 | set. de 2026 |
| 5 |  OpenAI | GPT-6 Astra (Max) | 8.6% | 90.6% | 0.03 | $13.67 | set. de 2026 |
| 6 | OpenAI | GPT-6.1 Sol (Max) | 6.9% | 90.6% | 0.09 | $2.48 | set. de 2026 |
| 7 |  Anthropic | Claude Fable 5.1 (Max, Default Fallback) | 6.4% | 92.4% | 1.32 | $21.73 | set. de 2026 |
| 8 |  Kimi | Kimi K3 (Max) | 5.3% | 93.0% | 2.09 | $6.19 | jul. de 2026 |
| 9 | Anthropic | Claude Opus 5.5 (Max, Default Fallback) | 4.2% | 90.0% | 0.59 | $17.93 | set. de 2026 |
| 10 |  Google | Gemini 4 Argon (High) | 3.9% | 94.8% | 3.82 | $6.29 | set. de 2026 |
| 11 | OpenAI | GPT-6 Sol (Max) | 3.6% | 86.9% | 0.07 | $3.33 | set. de 2026 |
| 12 | OpenAI | GPT-6 Luna (Max) | 3.3% | 86.0% | 0.38 | $0.22 | set. de 2026 |
| 13 |  Mistral | Mistral Large 4 Preview | 3.1% | 93.0% | 2.11 | $2.54 | out. de 2026 |
| 14 | Anthropic | Claude Sonnet 5.5 (Max, Default Fallback) | 2.8% | 92.1% | 1.03 | $14.03 | set. de 2026 |
| 15 | Anthropic | Claude Haiku 5.5 (Xhigh) | 2.8% | 88.0% | 1.61 | $0.43 | out. de 2026 |
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