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OpenAI: GPT-6 Sol

openai/gpt-6-sol

Comparar

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.

Modalidades
Precio de entrada / salida
2 US$ / 10 US$por 1M
Contexto
1,1M
Publicado
22 sept 2026
Comparar
ProveedoresPreciosRendimientoTiempo de actividadPruebas de rendimientoAplicacionesActividadDocumentaciónPreguntas 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.

Pruebas de rendimiento

Puntuaciones en evaluaciones estandarizadas y respuestas de este modelo a instrucciones compartidas de las pruebas de referencia. Los porcentajes más altos son mejores, y cada posición indica dónde se sitúa este modelo entre los modelos evaluados en esa fuente.

Resumen de puntuaciones en pruebas de rendimiento de OpenAI: GPT-6 Sol (Artificial Analysis y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-6 Sol (Low) HLE34.9%
Artificial AnalysisGPT-6 Sol (Low) AA-LCR79.3%
Artificial AnalysisGPT-6 Sol (Low) GDPval-AA35.1%
Artificial AnalysisGPT-6 Sol (Low) CritPt16.3%
Artificial AnalysisGPT-6 Sol (Low) SciCode50.2%
Artificial AnalysisGPT-6 Sol (Low) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-6 Sol (Max) HLE47.9%
Artificial AnalysisGPT-6 Sol (Max) AA-LCR83.7%
Artificial AnalysisGPT-6 Sol (Max) GDPval-AA50.8%
Artificial AnalysisGPT-6 Sol (Max) CritPt30.9%
Artificial AnalysisGPT-6 Sol (Max) SciCode57.6%
Artificial AnalysisGPT-6 Sol (Max) Terminal-Bench 4.043.9%
Artificial AnalysisGPT-6 Sol (Non-reasoning) HLE18.4%
Artificial AnalysisGPT-6 Sol (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-6 Sol (Non-reasoning) GDPval-AA37.7%
Artificial AnalysisGPT-6 Sol (Non-reasoning) CritPt4.0%
Artificial AnalysisGPT-6 Sol (Non-reasoning) SciCode47.3%
Artificial AnalysisGPT-6 Sol (Non-reasoning) Terminal-Bench 4.013.1%
Artificial AnalysisGPT-6 Sol (High) HLE44.1%
Artificial AnalysisGPT-6 Sol (High) AA-LCR83.7%
Artificial AnalysisGPT-6 Sol (High) GDPval-AA45.2%
Artificial AnalysisGPT-6 Sol (High) CritPt25.4%
Artificial AnalysisGPT-6 Sol (High) SciCode54.9%
Artificial AnalysisGPT-6 Sol (High) Terminal-Bench 4.026.3%
Artificial AnalysisGPT-6 Sol (Medium) HLE41.0%
Artificial AnalysisGPT-6 Sol (Medium) AA-LCR82.3%
Artificial AnalysisGPT-6 Sol (Medium) GDPval-AA42.6%
Artificial AnalysisGPT-6 Sol (Medium) CritPt24.6%
Artificial AnalysisGPT-6 Sol (Medium) SciCode53.8%
Artificial AnalysisGPT-6 Sol (Medium) Terminal-Bench 4.018.7%
Artificial AnalysisGPT-6 Sol (Xhigh) HLE46.3%
Artificial AnalysisGPT-6 Sol (Xhigh) AA-LCR81.3%
Artificial AnalysisGPT-6 Sol (Xhigh) GDPval-AA48.3%
Artificial AnalysisGPT-6 Sol (Xhigh) CritPt28.0%
Artificial AnalysisGPT-6 Sol (Xhigh) SciCode55.1%
Artificial AnalysisGPT-6 Sol (Xhigh) Terminal-Bench 4.030.3%
Vals AIGPT-6 Sol BioMysteryBench74.8%
Vals AIGPT-6 Sol Code Migration57.2%
Vals AIGPT-6 Sol CyberBench v1.178.0%
Vals AIGPT-6 Sol EMB71.5%
Vals AIGPT-6 Sol Finance Agent (v2)49.0%
Vals AIGPT-6 Sol Harvey's Legal Agent Benchmark v11.7%
Vals AIGPT-6 Sol IOI82.6%
Vals AIGPT-6 Sol Legal Research Bench28.8%
Vals AIGPT-6 Sol MedCode47.1%
Vals AIGPT-6 Sol MedScribe82.0%
Vals AIGPT-6 Sol MysteryMechanism30.2%
Vals AIGPT-6 Sol ProgramBench2.0%
Vals AIGPT-6 Sol ProofBench v1.183.0%
Vals AIGPT-6 Sol Public Benefits Bench v1.156.6%
Vals AIGPT-6 Sol Vals RSI Index28.1%
Vals AIGPT-6 Sol SAGE v144.8%
Vals AIGPT-6 Sol Vals Science Index45.0%
Vals AIGPT-6 Sol SRE Bench30.5%
Vals AIGPT-6 Sol Tax Agent Bench15.0%
Vals AIGPT-6 Sol Terminal-Bench 4.044.4%
Vals AIGPT-6 Sol Terminal-Bench-Science30.0%
Vals AIGPT-6 Sol Vals Index57.5%
Vals AIGPT-6 Sol Vibe Code Bench v1.187.8%

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.

Versiones de OpenAI: GPT Sol

Disponible mediante enrutamiento dentro de la región de la UE

OpenAI: GPT-6 Sol 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: 2,20 US$/M tokens de entrada, 11 US$/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

Documentación

Guías, recetarios, artículos de blog y herramientas para desarrollar con OpenAI: GPT-6 Sol en OpenRouter.

  • GPT-6 Migration GuideRecetario

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
2,00 US$10,00 US$0,20 US$1,20s71 tps
99,44 %
2,00 US$10,00 US$0,20 US$1,96s71 tps
100,00 %
2,00 US$10,00 US$0,20 US$2,23s41 tps
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No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
Flex
1,00 US$5,00 US$0,10 US$1,18s60 tps
100,00 %
2,20 US$11,00 US$0,22 US$15,12s48 tps
100,00 %
2,20 US$11,00 US$0,22 US$2,90s78 tps
100,00 %
2,20 US$11,00 US$0,22 US$1,82s117 tps
--
Fast
4,00 US$20,00 US$0,40 US$1,41s79 tps
100,00 %
Rendimiento
117tok/s

P50, el mejor entre los proveedores

Latencia
1,18s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI92,4 %70,7 %Amazon Bedrock92,4 %70,0 %
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.
99,62 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,62 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,56 %
Without Routing
99,14 %

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.

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2.
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Hermes Agent
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72,4Btókenes
3.
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4.
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Preguntas frecuentes

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.

La documentación de GPT-6 Sol en OpenRouter incluye la guía práctica GPT-6 Migration Guide. La guía de inicio rápido cubre las claves de API y su primera solicitud, y la referencia de la API enumera todos los parámetros.

GPT-6 Sol cuesta 2,00 US$/M de tokens de entrada y 10,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,20 US$/M tokens y Cache Write a 2,50 US$/M tokens.

GPT-6 Sol tiene una ventana de contexto de 1.050.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-6 Sol 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 Sol 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 Sol acepta archivos como PDF, imágenes y texto como entrada y devuelve texto.

GPT-6 Sol está disponible a través de 3 proveedores en OpenRouter: OpenAI, Amazon Bedrock 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 Sol se lanzó el 22 de septiembre de 2026.

Más modelos de OpenAI

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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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GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

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GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

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GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

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.

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

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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

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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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.

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

TextoContexto de 1,1M0,05 US$ / 0,25 US$
GPT-6 Luna

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TextoContexto de 1,1M0,10 US$ / 0,50 US$
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

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GPT-6 Sol Pro

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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 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 Sol instead.

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

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GPT-6 Sol Pro (batch)

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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 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 Sol instead.

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GPT-6 Sol

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TextoContexto de 1,1M2 US$ / 10 US$
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.

TextoContexto de 1,1M1 US$ / 5 US$
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.

TextoContexto de 1,1M
GPT Terra Latest

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

TextoContexto de 1,1M

GPT-6 Sol cuesta 2,00 US/Mdetokensdeentraday10,00 US/M de tokens de entrada y 10,00 US/Mdetokensdeentraday10,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,20 US/MtokensyCacheWritea2,50 US/M tokens y Cache Write a 2,50 US/MtokensyCacheWritea2,50 US/M tokens.