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Favicon de openai

OpenAI: GPT-5.5

openai/gpt-5.5

Comparar

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Modalidades
Precio de entrada / salida
5 US$ / 30 US$por 1M
Contexto
1,1M
Publicado
24 abr 2026
Fecha de corte del conocimiento
dic 2025
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-5.5 (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-5.5 (High) Coding Index71,6
Artificial AnalysisGPT-5.5 (High) Agentic Index34,3
Artificial AnalysisGPT-5.5 (High) GPQA Diamond93.2%
Artificial AnalysisGPT-5.5 (High) HLE45.0%
Artificial AnalysisGPT-5.5 (High) IFBench71.6%
Artificial AnalysisGPT-5.5 (High) τ²-Bench Telecom93.0%
Artificial AnalysisGPT-5.5 (High) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (High) τ-Bench Banking36.7%
Artificial AnalysisGPT-5.5 (High) GDPval-AA41.8%
Artificial AnalysisGPT-5.5 (High) CritPt25.4%
Artificial AnalysisGPT-5.5 (High) SciCode56.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench Hard59.8%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 2.179.4%
Artificial AnalysisGPT-5.5 (Low) Coding Index60,9
Artificial AnalysisGPT-5.5 (Low) GPQA Diamond91.0%
Artificial AnalysisGPT-5.5 (Low) HLE32.7%
Artificial AnalysisGPT-5.5 (Low) IFBench64.4%
Artificial AnalysisGPT-5.5 (Low) τ²-Bench Telecom83.9%
Artificial AnalysisGPT-5.5 (Low) AA-LCR81.0%
Artificial AnalysisGPT-5.5 (Low) τ-Bench Banking24.9%
Artificial AnalysisGPT-5.5 (Low) GDPval-AA27.7%
Artificial AnalysisGPT-5.5 (Low) CritPt8.0%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench 2.165.5%
Artificial AnalysisGPT-5.5 (Xhigh) Coding Index74,9
Artificial AnalysisGPT-5.5 (Xhigh) Agentic Index36,4
Artificial AnalysisGPT-5.5 (Xhigh) GPQA Diamond93.5%
Artificial AnalysisGPT-5.5 (Xhigh) HLE45.8%
Artificial AnalysisGPT-5.5 (Xhigh) IFBench75.9%
Artificial AnalysisGPT-5.5 (Xhigh) τ²-Bench Telecom93.9%
Artificial AnalysisGPT-5.5 (Xhigh) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (Xhigh) τ-Bench Banking39.0%
Artificial AnalysisGPT-5.5 (Xhigh) GDPval-AA43.0%
Artificial AnalysisGPT-5.5 (Xhigh) CritPt27.1%
Artificial AnalysisGPT-5.5 (Xhigh) SciCode55.8%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench Hard60.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 4.014.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 2.184.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) Coding Index56,5
Artificial AnalysisGPT-5.5 (Non-reasoning) GPQA Diamond76.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) HLE13.7%
Artificial AnalysisGPT-5.5 (Non-reasoning) IFBench46.1%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ²-Bench Telecom69.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ-Bench Banking14.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) GDPval-AA23.9%
Artificial AnalysisGPT-5.5 (Non-reasoning) CritPt1.4%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench Hard49.2%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench 2.161.0%
Artificial AnalysisGPT-5.5 (Medium) Coding Index71,5
Artificial AnalysisGPT-5.5 (Medium) Agentic Index29,5
Artificial AnalysisGPT-5.5 (Medium) GPQA Diamond92.6%
Artificial AnalysisGPT-5.5 (Medium) HLE42.4%
Artificial AnalysisGPT-5.5 (Medium) IFBench71.0%
Artificial AnalysisGPT-5.5 (Medium) τ²-Bench Telecom91.8%
Artificial AnalysisGPT-5.5 (Medium) AA-LCR83.0%
Artificial AnalysisGPT-5.5 (Medium) τ-Bench Banking29.9%
Artificial AnalysisGPT-5.5 (Medium) GDPval-AA37.1%
Artificial AnalysisGPT-5.5 (Medium) CritPt18.6%
Artificial AnalysisGPT-5.5 (Medium) SciCode54.5%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 4.05.1%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 2.180.5%
Design ArenaGPT-5.5 Agents Arena Agenticgamedev Elo1127
Design ArenaGPT-5.5 Agents Arena Agentichtmlslides Elo1084
Design ArenaGPT-5.5 Agents Arena Agenticslides Elo1150
Design ArenaGPT-5.5 Agents Arena Agenticslides(Html) Elo1077
Design ArenaGPT-5.5 Agents Arena Agenticslides(Python-Pptx) Elo1155
Design ArenaGPT-5.5 Agents Arena Androidnative Elo1160
Design ArenaGPT-5.5 Agents Arena Full Stack Elo1089
Design ArenaGPT-5.5 Agents Arena Godotgamedev Elo1173
Design ArenaGPT-5.5 Agents Arena Htmlslides Elo963
Design ArenaGPT-5.5 Agents Arena Mobile Apps Elo1142
Design ArenaGPT-5.5 Agents Arena Pptxslides Elo1157
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1152
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1065
Design ArenaGPT-5.5 Agents Arena Webapps Elo1102
Design ArenaGPT-5.5 Models Arena 3D Elo1195
Design ArenaGPT-5.5 Models Arena Asciiart Elo1252
Design ArenaGPT-5.5 Models Arena Code Categories Elo1258
Design ArenaGPT-5.5 Models Arena Data Visualization Elo1263
Design ArenaGPT-5.5 Models Arena Game Development Elo1291
Design ArenaGPT-5.5 Models Arena SVG Elo1229
Design ArenaGPT-5.5 Models Arena UI Component Elo1255
Design ArenaGPT-5.5 Models Arena Website Elo1255
Vals AIGPT 5.5 CaseLaw v266.2%
Vals AIGPT 5.5 Code Migration45.2%
Vals AIGPT 5.5 CorpFin v268.4%
Vals AIGPT 5.5 EMB64.5%
Vals AIGPT 5.5 Finance Agent (v2)51.8%
Vals AIGPT 5.5 GPQA Diamond93.2%
Vals AIGPT 5.5 Harvey's Legal Agent Benchmark v13.8%
Vals AIGPT 5.5 LiveCodeBench85.3%
Vals AIGPT 5.5 LegalBench86.5%
Vals AIGPT 5.5 Legal Research Bench40.4%
Vals AIGPT 5.5 MedCode49.1%
Vals AIGPT 5.5 MedScribe86.9%
Vals AIGPT 5.5 MMLU Pro88.1%
Vals AIGPT 5.5 MMMU Pro88.3%
Vals AIGPT 5.5 MortgageTax68.8%
Vals AIGPT 5.5 ProgramBench0.5%
Vals AIGPT 5.5 ProofBench v150.0%
Vals AIGPT 5.5 Public Benefits Bench v1.160.9%
Vals AIGPT 5.5 Vals RSI Index16.5%
Vals AIGPT 5.5 SAGE v151.5%
Vals AIGPT 5.5 SkillsBench62.2%
Vals AIGPT 5.5 SRE Bench3.8%
Vals AIGPT 5.5 SWE-bench82.6%
Vals AIGPT 5.5 Tax Agent Bench21.8%
Vals AIGPT 5.5 TaxEval v275.0%
Vals AIGPT 5.5 Terminal-Bench 2.176.4%
Vals AIGPT 5.5 Vals Index57.4%
Vals AIGPT 5.5 Vals Multimodal Index68.1%
Vals AIGPT 5.5 Vibe Code Bench v1.169.8%

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-5.5 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: 5,50 US$/M tokens de entrada, 33 US$/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-5.5 en OpenRouter.

  • GPT-5.4 Migration GuideRecetario
  • GPT-5.5 Price Increase: What It Actually CostsPublicación del blog

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
5,00 US$30,00 US$0,50 US$3,48s55 tps
98,90 %
5,00 US$30,00 US$0,50 US$2,90s63 tps
100,00 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
Flex
2,50 US$15,00 US$0,25 US$----
100,00 %
5,50 US$33,00 US$0,55 US$5,47s85 tps
100,00 %
5,50 US$33,00 US$0,55 US$----
100,00 %
5,50 US$33,00 US$0,55 US$----
--
Fast
12,50 US$75,00 US$1,25 US$3,36s88 tps
--
Rendimiento
88tok/s

P50, el mejor entre los proveedores

Latencia
2,90s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI93,9 %78,0 %
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.
99,89 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,89 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,88 %
Without Routing
99,05 %

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.
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.
18,4Btókenes
2.
Favicon de https://www.framer.com/
Framer
Create a professional website with Framer’s no-code AI website builder. Design freely, manage CMS content, optimize SEO, collaborate, and publish fast.
14,7Btókenes
3.
Favicon de https://openai.com/codex
Codex
A coding agent that helps you build and ship with AI
9,2Btókenes
4.
Favicon de https://omp.sh/
omp
nuevo
5,49Btókenes
5.
Favicon de https://pi.dev/
pi
There are many coding agents, but this one is yours.
3,21Btókenes

Preguntas frecuentes

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

La documentación de GPT-5.5 en OpenRouter incluye la guía práctica GPT-5.4 Migration Guide y la publicación del blog GPT-5.5 Price Increase: What It Actually Costs. 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-5.5 cuesta 5,00 US$/M de tokens de entrada y 30,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,50 US$/M tokens y Web Search a 10,00 US$/1K calls.

GPT-5.5 tiene una ventana de contexto de 1.050.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-5.5 admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-5.5 acepta archivos como PDF, imágenes y texto como entrada y devuelve texto.

GPT-5.5 está disponible a través de 3 proveedores en OpenRouter: OpenAI, Azure y Amazon Bedrock. 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-5.5 se lanzó el 24 de abril de 2026. Su fecha límite de conocimientos es 1 de diciembre de 2025.

Más modelos de OpenAI

GPT-6.1 Terra Pro

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

TextoContexto de 1,1M1 US$ / 5 US$
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.

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

TextoContexto de 1,1M0,50 US$ / 2,50 US$
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.

TextoContexto de 1,1M1 US$ / 5 US$
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.

TextoContexto de 1,1M0,50 US$ / 2,50 US$
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.

Decisiones0,10 US$ / 0 US$
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

TextoContexto de 1,1M2 US$ / 10 US$
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.

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

TextoContexto de 1,1M1 US$ / 5 US$
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.

TextoContexto de 1,1M2 US$ / 10 US$
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.

TextoContexto de 1,1M1 US$ / 5 US$
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

TextoContexto de 1,1M0,10 US$ / 0,50 US$
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

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.

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.

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

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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

TextoContexto de 1,1M2 US$ / 10 US$
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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

TextoContexto de 1,1M1 US$ / 5 US$
GPT-6 Sol

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 1,1M2 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-5.5 cuesta 5,00 US/Mdetokensdeentraday30,00 US/M de tokens de entrada y 30,00 US/Mdetokensdeentraday30,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,50 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.