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Favicon de openai

OpenAI: GPT-4o-mini

openai/gpt-4o-mini

Comparar

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs.

As their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than GPT-3.5 Turbo. It maintains SOTA intelligence, while being significantly more cost-effective.

GPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences common leaderboardsOpens in new tab.

Check out the launch announcementOpens in new tab to learn more.

#multimodal

Modalidades
Precio de entrada / salida
0,15 US$ / 0,60 US$por 1M
Contexto
128K
Publicado
18 jul 2024
Fecha de corte del conocimiento
oct 2023
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-4o-mini (Artificial Analysis)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-4o mini Coding Index11,4
Artificial AnalysisGPT-4o mini GPQA Diamond42.6%
Artificial AnalysisGPT-4o mini HLE4.2%
Artificial AnalysisGPT-4o mini IFBench31.0%
Artificial AnalysisGPT-4o mini τ-Bench Banking2.9%
Artificial AnalysisGPT-4o mini GDPval-AA0.0%
Artificial AnalysisGPT-4o mini LiveCodeBench23.4%
Artificial AnalysisGPT-4o mini Terminal-Bench 2.15.6%
Artificial AnalysisGPT-4o mini MMLU-Pro64.8%
Artificial AnalysisGPT-4o mini AIME 202514.7%
Artificial AnalysisGPT-4o mini AIME11.7%
Artificial AnalysisGPT-4o mini MATH-50078.9%

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.

Disponible mediante enrutamiento dentro de la región de la UE

OpenAI: GPT-4o-mini 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: 0,165 US$/M tokens de entrada, 0,66 US$/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

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
0,150 US$0,60 US$0,0750 US$1,21s60 tps
100,00 %
0,150 US$0,60 US$0,0750 US$0,53s81 tps
100,00 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
0,165 US$0,66 US$0,0825 US$0,49s67 tps
100,00 %
Rendimiento
81tok/s

P50, el mejor entre los proveedores

Latencia
0,48s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI43,6 %26,0 %
Tiempo de actividad (3 d)El modelo estaba accesible. Solicitud enrutada a un proveedor.
99,99 %
Disponibilidad (3 d)El modelo devolvió una inferencia de cualquier proveedor. Los errores y las respuestas vacías cuentan en su contra.
99,96 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,96 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,98 %
Without Routing
97,98 %

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://localpipe.lovable.app/
LocalPipe Enrichment Lite
nuevo
9,56Btókenes
2.
Favicon de https://hub.mpk.marketing/
MPKHub
nuevo
7,82Btókenes
3.
Favicon de https://davi.interno/
Projeto Davi
nuevo
6,2Btókenes
4.
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.
5,78Btókenes
5.
Favicon de https://mira.tg/
Mira
Mira is a Telegram-native AI assistant.
4,15Btókenes

Preguntas frecuentes

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than GPT-3.5 Turbo. It maintains SOTA intelligence, while being significantly more cost-effective.

GPT-4o-mini cuesta 0,15 US$/M de tokens de entrada y 0,60 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,075 US$/M tokens.

GPT-4o-mini tiene una ventana de contexto de 128.000 tókenes. Admite hasta 16.384 tókenes de respuesta.

Sí. GPT-4o-mini acepta tools y tool_choice para llamadas a funciones en 1 de los 2 proveedores que lo ofrecen, y las solicitudes que envían herramientas se enrutan a esos proveedores. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-4o-mini acepta texto, imágenes y archivos como PDF como entrada y devuelve texto.

GPT-4o-mini está disponible a través de 2 proveedores en OpenRouter: Azure y OpenAI. 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-4o-mini se lanzó el 18 de julio de 2024. Su fecha límite de conocimientos es 31 de octubre de 2023.

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GPT-4o-mini cuesta 0,15 US/Mdetokensdeentraday0,60 US/M de tokens de entrada y 0,60 US/Mdetokensdeentraday0,60 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,075 US$/M tokens.