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OpenAI

Chat with GPT-5.3 Codex online

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

Experimentar GPT-5.3 Codex Ver planos
A confiança de 790,000+ usuários

400K tokens

Contexto

128,000 tokens

Saída máxima

Médio

Velocidade

Para o que você vai usar

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.

Sobre o 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.

Como usar o GPT-5.3 Codex

Do zero ao seu primeiro resultado em menos de um 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

Dicas para resultados melhores

  • 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 as alternativas

Comparações honestas — onde o {model} vence e onde não vence.

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

Perguntas frequentes

Além do chat — imagens e vídeo

Todo plano NinjaChat inclui 50+ modelos, um estúdio completo de imagens e geração de vídeo.

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

GPT-5.3 Codex, e mais 50.

Uma única assinatura cobre todos os modelos do NinjaChat, incluindo GPT-5.3 Codex.

ComeçarComparar planos
Download on the App Store

Mais 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

O carro-chefe da Z.ai para código, agentes e engenharia de sistemas

→
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