GPT-5.3-Codex: What It Means for Enterprise Automation

OpenAI released GPT-5.3-Codex on 5 February 2026, the latest in its Codex line aimed at professional computer work. It combines the coding strength of GPT-5.2-Codex with the reasoning and broad knowledge of GPT-5.2, and is 25% faster than its predecessor — with state-of-the-art results on SWE-Bench Pro and Terminal-Bench 2.0 using fewer tokens.

Built for long-running agentic tasks

GPT-5.3-Codex is built for long-running tasks that involve research, tool use, and complex execution. A major addition is interactive steering: users can direct and interact with the model while it works without losing context. That makes it far more practical for enterprise automation, where humans need to correct course or add constraints mid-flow.

Beyond coding

The model extends beyond code to cover nearly all professional computer work: debugging, deployment, writing documentation, data analysis, spreadsheets, and presentations. For ConvertToAI clients, that means a single agentic backbone can drive document workflows, data pipelines, and operational tasks — not just software development.

GPT-5.3-Codex-Spark: real-time coding

On 12 February 2026, OpenAI also released GPT-5.3-Codex-Spark, a smaller, ultra-fast variant optimised for real-time coding. It delivers over 1,000 tokens per second, ideal for live assistance and high-throughput code generation. For enterprises, Spark can handle high-volume, low-latency coding tasks while the full Codex model handles deeper reasoning and multi-step work.

Why it matters for enterprise automation

Faster execution means lower cost per task and quicker feedback loops. Interactive steering means agents can be guided without full restarts. Combined with our guardrails and human-in-the-loop design, GPT-5.3-Codex enables agentic workflows that are both more capable and more controllable — exactly what we need for legal, finance, and operational automation at scale.