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Favicon de openai

OpenAI: GPT-5.3-Codex

openai/gpt-5.3-codex

Comparar

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, reflecting improved multi-language coding, terminal proficiency, and real-world computer-use skills. The model is optimized for long-running, tool-using workflows and supports interactive steering during execution, making it suitable for complex development tasks, debugging, deployment, and iterative product work.

Beyond coding, GPT-5.3-Codex performs strongly on structured knowledge-work benchmarks such as GDPval, supporting tasks like document drafting, spreadsheet analysis, slide creation, and operational research across domains. It is trained with enhanced cybersecurity awareness, including vulnerability identification capabilities, and deployed with additional safeguards for high-risk use cases. Compared to prior Codex models, it is more token-efficient and approximately 25% faster, targeting professional end-to-end workflows that span reasoning, execution, and computer interaction.

Modalidades
Precio de entrada / salida
1,75 US$ / 14 US$por 1M
Contexto
400K
Publicado
24 feb 2026
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-5.3-Codex (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisGPT-5.3 Codex (Xhigh) GPQA Diamond91.5%
Artificial AnalysisGPT-5.3 Codex (Xhigh) HLE42.5%
Artificial AnalysisGPT-5.3 Codex (Xhigh) IFBench75.4%
Artificial AnalysisGPT-5.3 Codex (Xhigh) τ²-Bench Telecom86.0%
Artificial AnalysisGPT-5.3 Codex (Xhigh) AA-LCR83.3%
Artificial AnalysisGPT-5.3 Codex (Xhigh) CritPt16.9%
Artificial AnalysisGPT-5.3 Codex (Xhigh) Terminal-Bench Hard53.0%
Design ArenaGPT-5.3 Codex Agents Arena Androidnative Elo1084
Design ArenaGPT-5.3 Codex Agents Arena Full Stack Elo983
Design ArenaGPT-5.3 Codex Agents Arena Godotgamedev Elo1124
Design ArenaGPT-5.3 Codex Agents Arena Mobile Apps Elo1053
Design ArenaGPT-5.3 Codex Agents Arena Webapps Elo1017
Design ArenaGPT-5.3 Codex Models Arena 3D Elo1005
Design ArenaGPT-5.3 Codex Models Arena Asciiart Elo1149
Design ArenaGPT-5.3 Codex Models Arena Code Categories Elo1143
Design ArenaGPT-5.3 Codex Models Arena Data Visualization Elo1164
Design ArenaGPT-5.3 Codex Models Arena Game Development Elo1161
Design ArenaGPT-5.3 Codex Models Arena SVG Elo1126
Design ArenaGPT-5.3 Codex Models Arena UI Component Elo1132
Design ArenaGPT-5.3 Codex Models Arena Website Elo1161
Vals AIGPT 5.3 Codex IOI53.8%
Vals AIGPT 5.3 Codex LiveCodeBench87.3%
Vals AIGPT 5.3 Codex SWE-bench78.0%
Vals AIGPT 5.3 Codex Terminal-Bench 2.064.0%
Vals AIGPT 5.3 Codex Vibe Code Bench v1.161.8%

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-5.3-Codex en OpenRouter.

  • GPT-5.4 Migration GuideRecetario

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
1,75 US$14,00 US$0,175 US$6,69s36 tps
100,00 %
1,75 US$14,00 US$0,175 US$2,72s75 tps
100,00 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
Fast
3,50 US$28,00 US$0,350 US$1,02s156 tps
--
Rendimiento
156tok/s

P50, el mejor entre los proveedores

Latencia
1,02s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
TAU-BenchOpenAI75,3 %
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.
76,83 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 76,83 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
85,28 %
Without Routing
85,07 %

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://www.framer.com/
Framer
Create a professional website with Framer’s no-code AI website builder. Design freely, manage CMS content, optimize SEO, collaborate, and publish fast.
68,6Btókenes
2.
Favicon de https://openai.com/codex
Codex
A coding agent that helps you build and ship with AI
49,7Btókenes
3.
Favicon de https://www.ito.ai/
Ito
Agentic QA platform that actually runs your app
14,7Btókenes
4.
Favicon de https://kilocode.ai/
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.
1,82Btókenes
5.
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.
1,64Btókenes

Preguntas frecuentes

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.

La documentación de GPT-5.3-Codex en OpenRouter incluye la guía práctica GPT-5.4 Migration Guide. 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-5.3-Codex cuesta 1,75 US$/M de tokens de entrada y 14,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,175 US$/M tokens.

GPT-5.3-Codex tiene una ventana de contexto de 400.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. GPT-5.3-Codex admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

GPT-5.3-Codex acepta texto, imágenes y archivos como PDF como entrada y devuelve texto.

GPT-5.3-Codex 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-5.3-Codex se lanzó el 24 de febrero de 2026.

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GPT-5.3-Codex cuesta 1,75 US/Mdetokensdeentraday14,00 US/M de tokens de entrada y 14,00 US/Mdetokensdeentraday14,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,175 US$/M tokens.