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Favicon de openai

OpenAI: GPT-4o (2024-08-06)

openai/gpt-4o-2024-08-06

Comparar

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more hereOpens in new tab.

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.

For benchmarking against other models, it was briefly called "im-also-a-good-gpt2-chatbot"Opens in new tab

Modalidades
Precio de entrada / salida
2,50 US$ / 10 US$por 1M
Contexto
128K
Publicado
6 ago 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 (2024-08-06) (Artificial Analysis y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-4o (Aug '24) GPQA Diamond52.1%
Artificial AnalysisGPT-4o (Aug '24) HLE2.3%
Artificial AnalysisGPT-4o (Aug '24) IFBench36.0%
Artificial AnalysisGPT-4o (Aug '24) τ²-Bench Telecom28.9%
Artificial AnalysisGPT-4o (Aug '24) AA-LCR41.0%
Artificial AnalysisGPT-4o (Aug '24) CritPt0.0%
Artificial AnalysisGPT-4o (Aug '24) LiveCodeBench31.7%
Artificial AnalysisGPT-4o (Aug '24) Terminal-Bench Hard8.3%
Artificial AnalysisGPT-4o (Aug '24) AIME11.7%
Artificial AnalysisGPT-4o (Aug '24) MATH-50079.5%
Vals AIGPT 4o (2024-08-06) AIME14.0%
Vals AIGPT 4o (2024-08-06) CorpFin v239.4%
Vals AIGPT 4o (2024-08-06) Finance Agent v1.18.1%
Vals AIGPT 4o (2024-08-06) LegalBench80.1%
Vals AIGPT 4o (2024-08-06) MATH 50075.2%
Vals AIGPT 4o (2024-08-06) MedQA88.2%
Vals AIGPT 4o (2024-08-06) MGSM90.7%
Vals AIGPT 4o (2024-08-06) MMLU Pro74.1%
Vals AIGPT 4o (2024-08-06) MMMU Pro64.0%
Vals AIGPT 4o (2024-08-06) MortgageTax61.0%
Vals AIGPT 4o (2024-08-06) TaxEval v271.1%

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

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
2,50 US$10,00 US$1,25 US$1,14s119 tps
100,00 %
2,50 US$10,00 US$1,25 US$0,98s68 tps
99,94 %
Rendimiento
119tok/s

P50, el mejor entre los proveedores

Latencia
0,98s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchOpenAI52,9 %43,3 %
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.
99,90 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,90 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,99 %
Without Routing
98,10 %

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.
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Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
64,3Mtókenes
2.
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Legal Ontology QA Console
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52,5Mtókenes
3.
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RP-Bench
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26Mtókenes
4.
Favicon de https://github.com/itsmatt247/SETA
seta
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17,5Mtókenes
5.
Favicon de https://github.com/trace-project
TRACE modern_protocol_v1
nuevo
12,2Mtókenes

Preguntas frecuentes

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more here. GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective.

GPT-4o (2024-08-06) cuesta 2,50 US$/M de tokens de entrada y 10,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 1,25 US$/M tokens.

GPT-4o (2024-08-06) tiene una ventana de contexto de 128.000 tókenes. Admite hasta 16.384 tókenes de respuesta.

Sí. GPT-4o (2024-08-06) admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-4o (2024-08-06) acepta texto, imágenes y archivos como PDF como entrada y devuelve texto.

GPT-4o (2024-08-06) 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 (2024-08-06) se lanzó el 6 de agosto de 2024. Su fecha límite de conocimientos es 31 de octubre de 2023.

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