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Favicon de openai

OpenAI: GPT-5.4 Mini

openai/gpt-5.4-mini

Comparar

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.

Modalidades
Precio de entrada / salida
0,75 US$ / 4,50 US$por 1M
Contexto
400K
Publicado
17 mar 2026
Fecha de corte del conocimiento
ago 2025
Comparar
ProveedoresPreciosRendimientoTiempo de actividadPruebas de rendimientoAplicacionesActividadPreguntas 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-5.4 Mini (Artificial Analysis y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-5.4 mini (Medium) GPQA Diamond82.3%
Artificial AnalysisGPT-5.4 mini (Medium) HLE18.6%
Artificial AnalysisGPT-5.4 mini (Medium) IFBench64.8%
Artificial AnalysisGPT-5.4 mini (Medium) τ²-Bench Telecom36.5%
Artificial AnalysisGPT-5.4 mini (Medium) AA-LCR67.0%
Artificial AnalysisGPT-5.4 mini (Medium) CritPt2.9%
Artificial AnalysisGPT-5.4 mini (Medium) Terminal-Bench Hard34.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) Coding Index56,1
Artificial AnalysisGPT-5.4 mini (Xhigh) Agentic Index17,9
Artificial AnalysisGPT-5.4 mini (Xhigh) GPQA Diamond87.5%
Artificial AnalysisGPT-5.4 mini (Xhigh) HLE28.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) IFBench73.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) τ²-Bench Telecom83.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) AA-LCR77.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) τ-Bench Banking25.6%
Artificial AnalysisGPT-5.4 mini (Xhigh) GDPval-AA26.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) CritPt10.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) SciCode52.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench 4.02.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench 2.159.2%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) GPQA Diamond60.6%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) HLE5.9%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) IFBench38.8%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) τ²-Bench Telecom23.4%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) AA-LCR37.0%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) GDPval-AA4.9%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) CritPt0.0%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) Terminal-Bench Hard18.2%
Vals AIGPT 5.4 Mini AIME95.6%
Vals AIGPT 5.4 Mini CaseLaw v251.7%
Vals AIGPT 5.4 Mini Code Migration12.9%
Vals AIGPT 5.4 Mini CorpFin v260.9%
Vals AIGPT 5.4 Mini EMB45.4%
Vals AIGPT 5.4 Mini Finance Agent (v2)45.4%
Vals AIGPT 5.4 Mini GPQA Diamond83.1%
Vals AIGPT 5.4 Mini Harvey's Legal Agent Benchmark v10.0%
Vals AIGPT 5.4 Mini IOI v16.4%
Vals AIGPT 5.4 Mini LiveCodeBench81.5%
Vals AIGPT 5.4 Mini Legal Research Bench12.5%
Vals AIGPT 5.4 Mini MMLU Pro84.6%
Vals AIGPT 5.4 Mini MMMU Pro79.2%
Vals AIGPT 5.4 Mini MortgageTax63.5%
Vals AIGPT 5.4 Mini ProgramBench0.0%
Vals AIGPT 5.4 Mini ProofBench v121.0%
Vals AIGPT 5.4 Mini SAGE v150.8%
Vals AIGPT 5.4 Mini SWE-bench73.0%
Vals AIGPT 5.4 Mini Tax Agent Bench8.8%
Vals AIGPT 5.4 Mini TaxEval v271.2%
Vals AIGPT 5.4 Mini Terminal-Bench 4.02.5%
Vals AIGPT 5.4 Mini Vals Index33.2%
Vals AIGPT 5.4 Mini Vals Multimodal Index54.2%
Vals AIGPT 5.4 Mini Vibe Code Bench v1.148.0%

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 Mini

Actualmente no está disponible mediante el enrutamiento dentro de la región de la UE. 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
0,750 US$4,50 US$0,0750 US$1,34s133 tps
100,00 %
0,750 US$4,50 US$0,0750 US$1,00s122 tps
100,00 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
Flex
0,375 US$2,25 US$0,0375 US$0,69s45 tps
100,00 %
0,825 US$4,95 US$0,0825 US$----
100,00 %
Fast
1,500 US$9,00 US$0,1500 US$1,21s86 tps
100,00 %
Rendimiento
133tok/s

P50, el mejor entre los proveedores

Latencia
0,69s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI83,8 %67,3 %
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.
99,91 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,91 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,92 %
Without Routing
98,73 %

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.
28,9Btókenes
2.
Favicon de https://git.xtools.tv/ml/ai-copilot-prod
ai-copilot-prod
nuevo
14,6Btókenes
3.
Favicon de https://openclaw.ai/
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
10,7Btókenes
4.
Favicon de https://docs.langchain.com/
LangChain
nuevo
5,18Btókenes
5.
Favicon de https://app.cochat.ai/static/cochat-icon-big.png
CoChat
CoChat is an AI research workspace: agents search peer-reviewed literature, verify every source, and organize your findings — from question to cited answer.
4,61Btókenes

Preguntas frecuentes

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

GPT-5.4 Mini cuesta 0,75 US$/M de tokens de entrada y 4,50 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,075 US$/M tokens.

GPT-5.4 Mini tiene una ventana de contexto de 400.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-5.4 Mini admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-5.4 Mini acepta archivos como PDF, imágenes y texto como entrada y devuelve texto.

GPT-5.4 Mini 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-5.4 Mini se lanzó el 17 de marzo de 2026. Su fecha límite de conocimientos es 31 de agosto de 2025.

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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.

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GPT-5.4 Mini cuesta 0,75 US/Mdetokensdeentraday4,50 US/M de tokens de entrada y 4,50 US/Mdetokensdeentraday4,50 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,075 US$/M tokens.