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OpenAI: GPT-5.4 Mini (batch)

openai/gpt-5.4-mini:batch

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
0,375 US$ / 2,25 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 (batch) (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
0,375 US$2,25 US$0,0375 US$----
--
Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI83,8 %67,3 %

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-5.4 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 (batch) cuesta 0,375 US$/M de tokens de entrada y 2,25 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,0375 US$/M tokens y Web Search a 10,00 US$/1K calls.

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

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

GPT-5.4 Mini (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-5.4 Mini (batch) se lanzó el 17 de marzo de 2026. Su fecha límite de conocimientos es 31 de agosto 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$
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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)

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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 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

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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.

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GPT-6 Luna Pro (batch)

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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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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

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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-5.4 Mini (batch) cuesta 0,375 US/Mdetokensdeentraday2,25 US/M de tokens de entrada y 2,25 US/Mdetokensdeentraday2,25 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,0375 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.