GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries …
Model details →OpenAI: GPT-5.2 vs OpenAI: GPT-5.2-Codex
OpenAI: GPT-5.2 and OpenAI: GPT-5.2-Codex are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model …
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.2 | OpenAI: GPT-5.2-Codex | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 400K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.75 | $1.75 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $14.00 | $14.00 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5.2 better than OpenAI: GPT-5.2-Codex?
OpenAI: GPT-5.2 and OpenAI: GPT-5.2-Codex are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between OpenAI: GPT-5.2 and OpenAI: GPT-5.2-Codex?
Input: $1.75 vs $1.75 per 1M tokens. Output: $14.00 vs $14.00 per 1M tokens.
What context windows do OpenAI: GPT-5.2 and OpenAI: GPT-5.2-Codex support?
OpenAI: GPT-5.2 supports up to 400K tokens. OpenAI: GPT-5.2-Codex supports up to 400K tokens.
Do both OpenAI: GPT-5.2 and OpenAI: GPT-5.2-Codex support tool calling?
OpenAI: GPT-5.2: yes. OpenAI: GPT-5.2-Codex: yes.