AI RACE— La carrera de la IA
Modelo de IA

Claude Opus 4.7

Anthropic

Probar ahora ↗
Lanzamiento4/2026
Velocidad0 tokens/s
Tiempo hasta el primer token0.00s
Precio de entrada$5/1M
Precio de salida$25/1M

Clasificación

#29
AIM 70.2Puesto máximo: #4
#21
AIM 88.1Puesto máximo: #4
#34
AIM 91.7Puesto máximo: #8
#43
AIM 88.2Puesto máximo: #17

Análisis

Opus 4.7 is a strong choice for coding and reasoning, suited for developers and architects prioritizing quality over speed. However, if automation or longer context windows are priorities, newer models (Sonnet 5) or lightweight options (Haiku) may be more suitable.

Puntos fuertes

  • Top-10 coding capabilities: handles complex code, large-scale refactoring, and deep architecture comprehension
  • Natural, insightful communication: maintains context well with strong collaboration capabilities
  • Multi-step reasoning: complex problem analysis, detailed planning, and thorough debugging

Puntos débiles

  • Weak agent orchestration: less effective when running autonomous multi-step workflows or independent decision-making
  • Slower inference speed compared to lighter models, with high API costs
  • More limited context window than newer models (Sonnet 5, Fable 5)

Casos de uso

Backend and full-stack development: handling complex requirements, code reviews, and large-scale refactoringDocument writing and analysis: technical writing, design docs, proposals, and research synthesisTechnical consulting: debugging challenging issues, strategic problem-solving, and developer mentoring

Guías y videos

Claude Opus 4.7 is Anthropic's most advanced AI model, optimized for coding, deep analysis, and high-resolution image processing. Access it via claude.ai or other API/platforms (AWS Bedrock, Google Vertex AI, Microsoft Foundry). The model features a 1-million-token context window, enabling the processing of long documents and complex asynchronous tasks. Tips: use 'xhigh' or 'max' effort levels for difficult tasks, and leverage vision features for detailed image analysis.

Reseñas