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OpenAI: GPT-5.6 Terra (batch)

openai/gpt-5.6-terra:batch

Comparar

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.

Modalidades
Precio de entrada / salida
1 US$ / 6 US$por 1M
Contexto
1,1M
Publicado
9 jul 2026
Fecha de corte del conocimiento
feb 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-5.6 Terra (batch) (Artificial Analysis y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) Coding Index52,3
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) Agentic Index23,5
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) GPQA Diamond74.6%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) HLE11.4%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) AA-LCR58.7%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) τ-Bench Banking15.7%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) GDPval-AA30.2%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) CritPt2.0%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) SciCode45.1%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) Terminal-Bench 4.00.5%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) Terminal-Bench 2.156.2%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) AA-Omniscience Accuracy32.6%
Artificial AnalysisGPT-5.6 Terra (Non-reasoning) AA-Omniscience Non-Hallucination Rate4.4%
Artificial AnalysisGPT-5.6 Terra (High) Coding Index67,1
Artificial AnalysisGPT-5.6 Terra (High) Agentic Index36,7
Artificial AnalysisGPT-5.6 Terra (High) GPQA Diamond89.6%
Artificial AnalysisGPT-5.6 Terra (High) HLE38.5%
Artificial AnalysisGPT-5.6 Terra (High) IFBench64.4%
Artificial AnalysisGPT-5.6 Terra (High) τ²-Bench Telecom78.4%
Artificial AnalysisGPT-5.6 Terra (High) AA-LCR77.7%
Artificial AnalysisGPT-5.6 Terra (High) τ-Bench Banking28.7%
Artificial AnalysisGPT-5.6 Terra (High) GDPval-AA44.4%
Artificial AnalysisGPT-5.6 Terra (High) CritPt22.9%
Artificial AnalysisGPT-5.6 Terra (High) SciCode52.4%
Artificial AnalysisGPT-5.6 Terra (High) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.6 Terra (High) Terminal-Bench 4.01.5%
Artificial AnalysisGPT-5.6 Terra (High) Terminal-Bench 2.175.7%
Artificial AnalysisGPT-5.6 Terra (High) AA-Omniscience Accuracy41.2%
Artificial AnalysisGPT-5.6 Terra (High) AA-Omniscience Non-Hallucination Rate9.0%
Artificial AnalysisGPT-5.6 Terra (Max) Coding Index76,7
Artificial AnalysisGPT-5.6 Terra (Max) Agentic Index43,2
Artificial AnalysisGPT-5.6 Terra (Max) GPQA Diamond92.5%
Artificial AnalysisGPT-5.6 Terra (Max) HLE42.9%
Artificial AnalysisGPT-5.6 Terra (Max) IFBench71.2%
Artificial AnalysisGPT-5.6 Terra (Max) τ²-Bench Telecom86.3%
Artificial AnalysisGPT-5.6 Terra (Max) AA-LCR83.0%
Artificial AnalysisGPT-5.6 Terra (Max) τ-Bench Banking40.2%
Artificial AnalysisGPT-5.6 Terra (Max) GDPval-AA48.1%
Artificial AnalysisGPT-5.6 Terra (Max) CritPt30.0%
Artificial AnalysisGPT-5.6 Terra (Max) SciCode55.0%
Artificial AnalysisGPT-5.6 Terra (Max) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.6 Terra (Max) Terminal-Bench 4.035.4%
Artificial AnalysisGPT-5.6 Terra (Max) Terminal-Bench 2.188.0%
Artificial AnalysisGPT-5.6 Terra (Max) AA-Omniscience Accuracy42.3%
Artificial AnalysisGPT-5.6 Terra (Max) AA-Omniscience Non-Hallucination Rate10.6%
Artificial AnalysisGPT-5.6 Terra (Medium) Coding Index64,7
Artificial AnalysisGPT-5.6 Terra (Medium) Agentic Index30,4
Artificial AnalysisGPT-5.6 Terra (Medium) GPQA Diamond87.2%
Artificial AnalysisGPT-5.6 Terra (Medium) HLE33.3%
Artificial AnalysisGPT-5.6 Terra (Medium) IFBench62.2%
Artificial AnalysisGPT-5.6 Terra (Medium) τ²-Bench Telecom72.8%
Artificial AnalysisGPT-5.6 Terra (Medium) AA-LCR74.0%
Artificial AnalysisGPT-5.6 Terra (Medium) τ-Bench Banking25.6%
Artificial AnalysisGPT-5.6 Terra (Medium) GDPval-AA38.7%
Artificial AnalysisGPT-5.6 Terra (Medium) CritPt17.4%
Artificial AnalysisGPT-5.6 Terra (Medium) SciCode50.5%
Artificial AnalysisGPT-5.6 Terra (Medium) Terminal-Bench 4.01.0%
Artificial AnalysisGPT-5.6 Terra (Medium) Terminal-Bench 2.172.3%
Artificial AnalysisGPT-5.6 Terra (Medium) AA-Omniscience Accuracy40.5%
Artificial AnalysisGPT-5.6 Terra (Medium) AA-Omniscience Non-Hallucination Rate8.7%
Artificial AnalysisGPT-5.6 Terra (Xhigh) Coding Index70,6
Artificial AnalysisGPT-5.6 Terra (Xhigh) Agentic Index41,4
Artificial AnalysisGPT-5.6 Terra (Xhigh) GPQA Diamond90.8%
Artificial AnalysisGPT-5.6 Terra (Xhigh) HLE41.9%
Artificial AnalysisGPT-5.6 Terra (Xhigh) IFBench66.3%
Artificial AnalysisGPT-5.6 Terra (Xhigh) τ²-Bench Telecom80.4%
Artificial AnalysisGPT-5.6 Terra (Xhigh) AA-LCR79.0%
Artificial AnalysisGPT-5.6 Terra (Xhigh) τ-Bench Banking29.7%
Artificial AnalysisGPT-5.6 Terra (Xhigh) GDPval-AA47.8%
Artificial AnalysisGPT-5.6 Terra (Xhigh) CritPt27.1%
Artificial AnalysisGPT-5.6 Terra (Xhigh) SciCode52.3%
Artificial AnalysisGPT-5.6 Terra (Xhigh) Terminal-Bench Hard62.9%
Artificial AnalysisGPT-5.6 Terra (Xhigh) Terminal-Bench 4.010.1%
Artificial AnalysisGPT-5.6 Terra (Xhigh) Terminal-Bench 2.180.1%
Artificial AnalysisGPT-5.6 Terra (Xhigh) AA-Omniscience Accuracy41.3%
Artificial AnalysisGPT-5.6 Terra (Xhigh) AA-Omniscience Non-Hallucination Rate9.9%
Artificial AnalysisGPT-5.6 Terra (Low) Coding Index58,1
Artificial AnalysisGPT-5.6 Terra (Low) Agentic Index25,9
Artificial AnalysisGPT-5.6 Terra (Low) GPQA Diamond84.3%
Artificial AnalysisGPT-5.6 Terra (Low) HLE29.2%
Artificial AnalysisGPT-5.6 Terra (Low) IFBench59.7%
Artificial AnalysisGPT-5.6 Terra (Low) τ²-Bench Telecom60.5%
Artificial AnalysisGPT-5.6 Terra (Low) AA-LCR71.3%
Artificial AnalysisGPT-5.6 Terra (Low) τ-Bench Banking18.8%
Artificial AnalysisGPT-5.6 Terra (Low) GDPval-AA30.9%
Artificial AnalysisGPT-5.6 Terra (Low) CritPt9.4%
Artificial AnalysisGPT-5.6 Terra (Low) SciCode49.9%
Artificial AnalysisGPT-5.6 Terra (Low) Terminal-Bench Hard43.9%
Artificial AnalysisGPT-5.6 Terra (Low) Terminal-Bench 4.01.5%
Artificial AnalysisGPT-5.6 Terra (Low) Terminal-Bench 2.162.5%
Artificial AnalysisGPT-5.6 Terra (Low) AA-Omniscience Accuracy39.8%
Artificial AnalysisGPT-5.6 Terra (Low) AA-Omniscience Non-Hallucination Rate8.7%
Vals AIGPT-5.6 Terra Code Migration47.8%
Vals AIGPT-5.6 Terra CorpFin v265.3%
Vals AIGPT-5.6 Terra CyberBench v1.172.1%
Vals AIGPT-5.6 Terra EMB66.2%
Vals AIGPT-5.6 Terra Finance Agent (v2)54.4%
Vals AIGPT-5.6 Terra GPQA Diamond90.9%
Vals AIGPT-5.6 Terra Harvey's Legal Agent Benchmark v10.8%
Vals AIGPT-5.6 Terra IOI87.6%
Vals AIGPT-5.6 Terra LiveCodeBench85.9%
Vals AIGPT-5.6 Terra LegalBench85.1%
Vals AIGPT-5.6 Terra Legal Research Bench41.3%
Vals AIGPT-5.6 Terra MedCode43.4%
Vals AIGPT-5.6 Terra MedScribe82.9%
Vals AIGPT-5.6 Terra MMLU Pro86.7%
Vals AIGPT-5.6 Terra MMMU Pro86.5%
Vals AIGPT-5.6 Terra MortgageTax67.3%
Vals AIGPT-5.6 Terra ProgramBench0.5%
Vals AIGPT-5.6 Terra ProofBench v1.174.0%
Vals AIGPT-5.6 Terra Public Benefits Bench v1.162.4%
Vals AIGPT-5.6 Terra SAGE87.0%
Vals AIGPT-5.6 Terra SkillsBench58.9%
Vals AIGPT-5.6 Terra SRE Bench9.5%
Vals AIGPT-5.6 Terra SWE-bench95.4%
Vals AIGPT-5.6 Terra Tax Agent Bench30.0%
Vals AIGPT-5.6 Terra TaxEval v276.2%
Vals AIGPT-5.6 Terra Terminal-Bench 4.022.7%
Vals AIGPT-5.6 Terra Terminal-Bench-Science10.0%
Vals AIGPT-5.6 Terra Vals Index53.1%
Vals AIGPT-5.6 Terra Vals Multimodal Index65.1%
Vals AIGPT-5.6 Terra Vibe Code Bench 1-10014.8%
Vals AIGPT-5.6 Terra Vibe Code Bench v1.174.6%

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 Terra

Actualmente no está disponible mediante el enrutamiento dentro de la región de la UE. Documentación de enrutamiento dentro de la región

Documentación

Guías, recetarios, artículos de blog y herramientas para desarrollar con OpenAI: GPT-5.6 Terra (batch) en OpenRouter.

  • GPT-5.6 Migration GuideRecetario
  • GPT 5.6 Discounts & Jevons ParadoxPublicación del blog

Explorar más modelos

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1,00 US$6,00 US$0,10 US$----
--
Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI88,6 %72,7 %

Aún no hay suficientes datos de tiempo de actividad para mostrar.

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.

Aún no hay suficientes datos sobre las aplicaciones que usan este modelo.

Preguntas frecuentes

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.

La documentación de GPT-5.6 Terra (batch) en OpenRouter incluye la guía práctica GPT-5.6 Migration Guide y la publicación del blog GPT 5.6 Discounts & Jevons Paradox. 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-5.6 Terra (batch) cuesta 1,00 US$/M de tokens de entrada y 6,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,10 US$/M tokens y Web Search a 10,00 US$/1K calls.

GPT-5.6 Terra (batch) tiene una ventana de contexto de 1.050.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-5.6 Terra (batch) admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-5.6 Terra (batch) acepta archivos como PDF, imágenes y texto como entrada y devuelve texto.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions y 58 más son otros modelos de texto de OpenAI.

GPT-5.6 Terra (batch) se lanzó el 9 de julio de 2026. Su fecha límite de conocimientos es 16 de febrero de 2026.

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-5.6 Terra (batch) cuesta 1,00 US/Mdetokensdeentraday6,00 US/M de tokens de entrada y 6,00 US/Mdetokensdeentraday6,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,10 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.