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OpenAI

Chat with GPT-5.3 Codex online

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

Essayer GPT-5.3 Codex Voir les offres
Approuvé par 790,000+ utilisateurs

400K tokens

Contexte

128,000 tokens

Sortie maximale

Moyen

Vitesse

Ce pour quoi vous l'utiliserez

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.

À propos 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.

Comment utiliser GPT-5.3 Codex

De zéro à votre premier résultat en moins d'une minute.

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

Conseils pour de meilleurs résultats

  • 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 face aux alternatives

Comparaisons honnêtes — là où {model} excelle, et là où il ne le fait pas.

vs Kimi K2.7 Code

Voir le modèle

+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

Voir le modèle

+Stronger on real repository benchmarks

–GLM 5.2 costs less for everyday coding

Questions fréquentes

Au-delà du chat — images et vidéo

Chaque offre NinjaChat inclut 50+ modèles, un studio d'image complet et la génération vidéo.

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
Voir tous les modèles →

GPT-5.3 Codex, et 50 autres.

Un seul abonnement couvre tous les modèles de NinjaChat, GPT-5.3 Codex compris.

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D'autres modèles à explorer

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

Le modèle phare de Z.ai pour le code, les agents et l'architecture logicielle

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