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OpenAI: GPT-4.1 (batch)

openai/gpt-4.1:batch

Comparar

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.

Modalidades
Precio de entrada / salida
1 US$ / 4 US$por 1M
Contexto
1,0M
Publicado
14 abr 2025
Fecha de corte del conocimiento
jun 2024
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-4.1 (batch) (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-4.1 GPQA Diamond66.6%
Artificial AnalysisGPT-4.1 HLE4.2%
Artificial AnalysisGPT-4.1 IFBench43.0%
Artificial AnalysisGPT-4.1 τ²-Bench Telecom47.1%
Artificial AnalysisGPT-4.1 AA-LCR68.3%
Artificial AnalysisGPT-4.1 CritPt0.0%
Artificial AnalysisGPT-4.1 LiveCodeBench45.7%
Artificial AnalysisGPT-4.1 Terminal-Bench Hard13.6%
Artificial AnalysisGPT-4.1 MMLU-Pro80.6%
Artificial AnalysisGPT-4.1 AIME 202534.7%
Artificial AnalysisGPT-4.1 AIME43.7%
Artificial AnalysisGPT-4.1 MATH-50091.3%
Design ArenaGPT-4.1 Models Arena 3D Elo847
Design ArenaGPT-4.1 Models Arena Code Categories Elo1024
Design ArenaGPT-4.1 Models Arena Data Visualization Elo1104
Design ArenaGPT-4.1 Models Arena Game Development Elo1078
Design ArenaGPT-4.1 Models Arena UI Component Elo995
Design ArenaGPT-4.1 Models Arena Website Elo1037
Vals AIGPT 4.1 AIME39.6%
Vals AIGPT 4.1 CaseLaw v269.9%
Vals AIGPT 4.1 CorpFin v263.1%
Vals AIGPT 4.1 Finance Agent v124.6%
Vals AIGPT 4.1 GPQA Diamond65.4%
Vals AIGPT 4.1 LiveCodeBench54.7%
Vals AIGPT 4.1 LegalBench83.1%
Vals AIGPT 4.1 MATH 50087.2%
Vals AIGPT 4.1 MedQA91.2%
Vals AIGPT 4.1 MGSM87.7%
Vals AIGPT 4.1 MMLU Pro80.5%
Vals AIGPT 4.1 MMMU Pro72.4%
Vals AIGPT 4.1 MortgageTax65.9%
Vals AIGPT 4.1 TaxEval v275.1%
Vals AIGPT 4.1 Terminal-Bench 2.014.6%

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.

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-4.1 (batch) en OpenRouter.

  • Quasar Alpha and Optimus Alpha RevealPublicación del blog

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
1,00 US$4,00 US$0,25 US$----
--
Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI64,8 %48,7 %

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-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks.

La documentación de GPT-4.1 (batch) en OpenRouter incluye la publicación del blog Quasar Alpha and Optimus Alpha Reveal. 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-4.1 (batch) cuesta 1,00 US$/M de tokens de entrada y 4,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,25 US$/M tokens y Web Search a 10,00 US$/1K calls.

GPT-4.1 (batch) tiene una ventana de contexto de 1.047.576 tókenes. Admite hasta 32.768 tókenes de respuesta.

Sí. GPT-4.1 (batch) admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-4.1 (batch) acepta imágenes, texto y archivos como PDF 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-4.1 (batch) se lanzó el 14 de abril de 2025. Su fecha límite de conocimientos es 30 de junio de 2024.

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GPT-4.1 (batch) cuesta 1,00 US/Mdetokensdeentraday4,00 US/M de tokens de entrada y 4,00 US/Mdetokensdeentraday4,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,25 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.