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OpenAI

Chat with GPT-5.3 Codex online

OpenAI's coding agent — debugging, reviewing, deploying, not just writing the function.

Prueba GPT-5.3 Codex Ver planes
Con la confianza de 790,000+ usuarios

400K tokens

Contexto

128,000 tokens

Salida máxima

Medio

Velocidad

Para qué lo usarás

Agentic development

Whole tasks across the lifecycle, not one snippet.

Debugging

Reads real failures and works towards the cause.

Code review

Reviews a change against the intent behind it.

Screenshot to fix

Takes images, so a broken UI can go in directly.

Prompts to steal

Tuned to this model — click any line to copy.

Acerca de GPT-5.3 Codex

GPT-5.3 Codex is OpenAI's coding specialist, announced on 5 February 2026. It combines the coding strength of the Codex line with the general reasoning and professional knowledge of the wider GPT-5 series, and OpenAI's framing of it is deliberately broad: Codex moves from an agent that writes and reviews code to an agent that can do most of what a developer does on a computer.

That shows up in what it is tuned for. Debugging, deploying, monitoring, writing specs, editing copy, tests and metrics are all in scope, not just producing a function on request. It sets high marks on the benchmarks that measure real repository work rather than puzzle-solving — SWE-Bench Pro and Terminal-Bench in particular — and OpenAI reports it runs roughly 25% faster than GPT-5.2 Codex, which matters more than it sounds when a model is doing dozens of steps in a row.

It exposes adjustable reasoning effort, so the same model can answer quickly or think hard depending on what the task deserves, and it takes images as input, so a screenshot of a broken build or an unreadable chart can go straight into the thread. The context window runs to about 400K tokens with up to 128K tokens of output, enough to hold a large slice of a repository plus a long agent transcript.

On NinjaChat it is included in every plan. Pick it from the model list when the work is software, and switch to a general model when it is not.

Cómo usar GPT-5.3 Codex

De cero a tu primer resultado en menos de un minuto.

01

Create a NinjaChat account and choose a plan

02

Open chat and pick GPT-5.3 Codex from the model list

03

Give it the repository context, the failure and the goal

04

Ask for a plan first on anything that spans files

Consejos para mejores resultados

  • Paste the real error output rather than describing it
  • Say explicitly which files are in scope
  • Attach a screenshot when the bug is visual
  • Switch to a general GPT-5 model for non-coding work

GPT-5.3 Codex vs las alternativas

Comparativas honestas — dónde gana {model} y dónde no.

vs Kimi K2.7 Code

Ver modelo

+OpenAI's reasoning-effort control and wider tooling

–Kimi K2.7 Code is open-weights and cheaper per token

vs GPT-5.6 Terra

+Tuned specifically for software and agent runs

–Terra is the better all-round generalist

vs GLM 5.2

Ver modelo

+Stronger on real repository benchmarks

–GLM 5.2 costs less for everyday coding

Preguntas frecuentes

Más allá del chat — imágenes y video

Todos los planes de NinjaChat incluyen 50+ modelos, un estudio completo de imágenes y generación de video.

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
Ver todos los modelos →

GPT-5.3 Codex, y 50 más.

Una sola suscripción cubre todos los modelos de NinjaChat, GPT-5.3 Codex incluido.

EmpezarComparar planes
Download on the App Store

Más modelos para explorar

Kimi K2.7 Code

Moonshot's coding specialist for long agent runs

→

GPT 5.6 Terra

OpenAI's newest everyday model balancing intelligence and speed

→

GLM 5.2

El modelo insignia de Z.ai para código, agentes y diseño de sistemas

→
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