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Favicon de openai

OpenAI: GPT-6.1 Terra Pro

openai/gpt-6.1-terra-pro

Comparar

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 TerraOpens in new tab, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 TerraOpens in new tab instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-modeOpens in new tab

Modalidades
Precio de entrada / salida
1 US$ / 5 US$por 1M
Contexto
1,1M
Publicado
26 oct 2026
Comparar
ProveedoresPreciosRendimientoTiempo de actividadAplicacionesActividadPreguntas frecuentesExplorar

Proveedores

Distintas empresas alojan el mismo modelo. OpenRouter dirige su solicitud a una de ellas según el modo de enrutamiento que elija: Equilibrado (precio + velocidad), Nitro (el más rápido) o Floor (el más barato).

Precios

El precio medio que los clientes pagan realmente por este modelo, junto a los precios que publican los proveedores. El uso de caché y los descuentos hacen que el precio realmente pagado a menudo sea muy inferior al publicado.

Rendimiento

La velocidad de generación indica lo rápido que escribe el modelo (tokens por segundo: cuanto mayor, mejor). La latencia es el tiempo total de ida y vuelta (cuanto menor, mejor). TTFT es el tiempo hasta el primer token: cuánto tarda en aparecer algo en pantalla (cuanto menor, mejor).

Tiempo de actividad

El tiempo de actividad es el porcentaje de los últimos 3 días en que al menos un proveedor respondía a las solicitudes. La disponibilidad es el porcentaje de tiempo en que la inferencia se sirvió correctamente. OpenRouter supervisa continuamente y utiliza el siguiente mejor proveedor cuando uno devuelve un error.

Aplicaciones

Aplicaciones públicas que envían más tráfico a este modelo. Una buena señal de cómo son las cargas de trabajo reales en producción, y una pista sobre los casos de uso para los que este modelo es más adecuado.

Actividad

Volumen de tokens y tráfico de solicitudes a este modelo a lo largo del tiempo.

API

Código listo para usar para llamar a este modelo. La API de OpenRouter es compatible con OpenAI: la mayoría de los SDK funcionan con solo cambiar la URL base. Lo único que cambia entre modelos es el identificador del modelo que aparece a continuación.

Disponible mediante enrutamiento dentro de la región de la UE

OpenAI: GPT-6.1 Terra Pro está disponible mediante el enrutamiento dentro de la región de la UE. Las solicitudes enviadas a eu.openrouter.ai se descifran en la UE y se enrutan únicamente a endpoints compartidos de proveedores en Europa (la UE/el EEE, el Reino Unido y Suiza).

Proveedores en Europa
Azure
Precios en Europa
  • Azure: 1,20 US$/M tokens de entrada, 6 US$/M tokens de salida
URL base
https://eu.openrouter.ai/api/v1
Plan
Requiere Business o Enterprise. Autoservicio en Business: sin contrato ni mínimo mensual. OpenRouter Business para el enrutamiento dentro de la UE

Falla de forma cerrada: si no hay ningún endpoint de proveedor compartido disponible en Europa, la solicitud devuelve un error en lugar de salir de la región. Las solicitudes atendidas con su propia clave BYOK se dirigen a la región de su despliegue, que usted controla. Documentación de enrutamiento dentro de la región

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
1,00 US$5,00 US$0,050 US$12,81s88 tps
100,00 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
Flex
0,50 US$2,50 US$0,025 US$9,36s31 tps
93,75 %
1,20 US$6,00 US$0,060 US$6,01s108 tps
100,00 %
Fast
2,00 US$10,00 US$0,100 US$----
--
Rendimiento
108tok/s

P50, el mejor entre los proveedores

Latencia
6,01s

P50, mejor proveedor

Tiempo de actividad (3 d)El modelo estaba accesible. Solicitud enrutada a un proveedor.
100,00 %
Disponibilidad (3 d)El modelo devolvió una inferencia de cualquier proveedor. Los errores y las respuestas vacías cuentan en su contra.
99,85 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,85 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,73 %
Without Routing
99,08 %

Cuando se produce un error en un proveedor ascendente, podemos recuperarnos enrutando la solicitud a otro proveedor que funcione correctamente, si los filtros de su solicitud lo permiten. Puede acceder mediante programación a los datos de tiempo de actividad de cada proveedor a través de la API de endpoints. Obtenga más información sobre nuestras opciones de equilibrio de carga y enrutamiento de proveedores.

1.
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Codex
A coding agent that helps you build and ship with AI
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2.
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omp
nuevo
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3.
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Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
1,06Btókenes
4.
Favicon de https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
1,03Btókenes
5.
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DeepSeek Harness
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Preguntas frecuentes

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete.

GPT-6.1 Terra Pro cuesta 1,00 US$/M de tokens de entrada y 5,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,05 US$/M tokens, Cache Write a 1,25 US$/M tokens y Web Search a 10,00 US$/1K calls.

GPT-6.1 Terra Pro tiene una ventana de contexto de 1.050.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-6.1 Terra Pro admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

Sí. OpenAI almacena automáticamente en caché los prompts de 1024 tokens o más, y GPT-6.1 Terra Pro factura una escritura en caché por cada prompt almacenado en caché, tanto si el prefijo almacenado en caché se vuelve a leer como si no. Para desactivar el almacenamiento en caché en una solicitud, establezca prompt_cache_options.mode en "explicit" en la raíz de la solicitud y no marque ningún bloque de contenido con prompt_cache_breakpoint. El modo explícito desactiva los puntos de interrupción gestionados por OpenAI, por lo que una solicitud sin puntos de interrupción propios no tiene ningún prefijo que se pueda almacenar en caché y se factura a la tarifa de entrada normal. Consulte la guía de almacenamiento en caché de prompts.

GPT-6.1 Terra Pro acepta archivos como PDF, imágenes y texto como entrada y devuelve texto.

GPT-6.1 Terra Pro está disponible a través de 2 proveedores en OpenRouter: OpenAI y Azure. Las solicitudes se enrutan al mejor proveedor disponible, con conmutación automática a los demás en caso de fallo, y puede fijar o excluir proveedores mediante el enrutamiento de proveedores.

GPT-6.1 Terra Pro se lanzó el 26 de octubre de 2026.

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GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

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It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

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GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

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GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

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GPT-6.1 Sol (batch)

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

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GPT-6 Luna (batch)

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GPT-6 Sol Pro

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GPT-6 Sol Pro (batch)

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GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

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GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

TextoContexto de 1,1M
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

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GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

TextoContexto de 1,1M

GPT-6.1 Terra Pro cuesta 1,00 US/Mdetokensdeentraday5,00 US/M de tokens de entrada y 5,00 US/Mdetokensdeentraday5,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,05 US/Mtokens,CacheWritea1,25 US/M tokens, Cache Write a 1,25 US/Mtokens,CacheWritea1,25 US/M tokens y Web Search a 10,00 US$/1K calls.