AI RACE— La carrera de la IA
Modelo de IA

GPT-5.6 Terra

OpenAI

Probar ahora ↗
Lanzamiento7/2026
Velocidad116 tokens/s
Tiempo hasta el primer token74.83s
Precio de entrada$2/1M
Precio de salida$12/1M

Clasificación

#21
AIM 74.1Puesto máximo: #4
#10
AIM 93.1Puesto máximo: #2
#17
AIM 94.5Puesto máximo: #3
#28
AIM 91.1Puesto máximo: #15

Análisis

GPT-5.6 Terra is a top choice for developers and researchers when coding and reasoning quality take priority over price or speed. Not suited for automation tasks or simple chatbots, it performs best on tasks requiring high precision in programming and analysis.

Puntos fuertes

  • Extremely strong coding, ranked #2 globally—handles high code complexity, precise debugging, fast algorithm optimization
  • Superior logical reasoning, ranked #3—analyzes complex mathematical problems with clear step-by-step deduction
  • Broad, deep knowledge base suitable for technical conversation—nuanced, non-simplistic answers

Puntos débiles

  • Weaker autonomous capabilities (AI Agent)—ranked #15, better suited for cognitive work than automated execution
  • High operational cost; inference speed may not be ideal for low-latency applications
  • Not optimized for small, repetitive tasks—best reserved for brain-heavy technical challenges

Casos de uso

Assisting software engineers with writing, reviewing, and refactoring complex codeSolving scientific, mathematical, and logic problems requiring detailed step-by-step reasoningServing as a sparring partner for AI research and deep scientific analysis—where reasoning quality is the top priority

Guías y videos

Access GPT-5.6 Terra via ChatGPT.com (web interface) or the OpenAI API with model ID 'gpt-5.6-terra'. This model is designed for tasks requiring a balance between performance and cost, such as customer support, internal tools, and document analysis. Priced at $2.50 input / $15 output per 1M tokens—50% cheaper than Sol while more powerful than Luna. Supports a 1.05M-token context window, reasoning levels (low/medium/high/xhigh/max), and prompt caching.

Reseñas