Die OpenAI Codex API bietet fortschrittliche Coding-Funktionen auf Basis der GPT-5 Codex Modelle. Sie unterstützt Code-Generierung, Debugging und komplexe Engineering-Workflows mit skalierbarer Reasoning-Tiefe.

Model Type:
Pricing: Input 560 credits / 1M tokens (≈ $2.80), Cached Input 56 credits / 1M tokens (≈ $0.28), Cache Writes 700 credits / 1M tokens (≈ $3.50), Output 2800 credits / 1M tokens (≈ $14.00). ~72% cheaper than official pricing. High-tier top-ups (+10% bonus) bring effective pricing down to ~90% of the above.

Automatically append previous messages to maintain multi-turn context. May increase token usage.

Function calling
Web Access
Reasoning effort
Stream Response

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OpenAI Codex API mit der GPT-5-Serie testen

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GPT-5.3-Codex API ermöglicht leistungsstärkeres Agentic Coding
25 % schnellere Performance im GPT-5.3-Codex-Modell
Erweiterte Steuerung des Reasonings in der GPT-5.3-Codex API
Spitzenergebnisse im SWE-Bench Pro
Mehr als nur Code: Umfassende professionelle Workflows
Optimierte Computer-Use-Funktionen und Praxisanwendungen

OpenAI Codex API helps developers turn product ideas into working features quickly. With GPT-5.3 Codex handling structured code generation, teams can scaffold modules, wire APIs, and implement backend logic with fewer iterations.

ChatGPT Codex analyzes complex logic and identifies root causes across multi-file systems. Using Codex API for debugging allows developers to refine patches, improve structure, and modernize legacy code without breaking functionality.

GPT-5.3 Codex API is ideal for extended workflows that require deep reasoning. From restructuring large repositories to handling multi-step architectural updates, it supports tasks that go beyond simple prompt-to-code generation.

OpenAI Codex API generates meaningful unit tests and edge-case coverage aligned with real project logic. Teams can use Codex API to strengthen validation pipelines and improve reliability across production codebases.

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