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GPT-5.2 vs GPT-5.2-Codex

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose GPT-5.2 if you need

  • Unified processing of files, images, and text in a single workflow
  • Scalable document-level analysis across extensive inputs
  • Applications needing the widest range of multimodal file handling

Choose GPT-5.2-Codex if you need

  • Higher intelligence score and measurable high output speed
  • Strong coding specialization with seamless text-image integration
  • Large-scale text and image tasks where speed and coding performance matter

Verdict

GPT-5.2-Codex leads with a higher intelligence index (49 vs 46.6) and a documented output speed of 144.39 t/s, plus explicit coding specialization. GPT-5.2 offers broader multimodal coverage through native file support alongside images and text. Both share identical pricing, context length, and lack of audio/video, making Codex the stronger pick for performance-focused multimodal coding tasks.

GPT-5.2 vs GPT-5.2-Codex: side by side

SpecGPT-5.2GPT-5.2-CodexWinner
Intelligence46.649GPT-5.2-Codex
Output speed144 t/sTie
Output price$14.00/1M$14.00/1MTie
Context400K400KTie
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence & Performance

Winner: GPT-5.2-Codex

GPT-5.2-Codex scores 49 on the intelligence index compared to 46.6 for GPT-5.2. It also lists a concrete output speed of 144.39 t/s while GPT-5.2 speed is unspecified. This gives Codex a measurable edge in raw capability.

Multimodal Coverage

Winner: GPT-5.2

GPT-5.2 explicitly supports files, images, and text with unified multimodal processing. GPT-5.2-Codex is limited to text and image data with coding focus. The difference is directly stated in their respective strengths.

Speed, Price & Context

Winner: Tie

Both models share the same $14/1M price and 400k context window. GPT-5.2-Codex provides a known speed while GPT-5.2 does not; resource demands at max context are noted as high for both.

Specialization

Winner: GPT-5.2-Codex

GPT-5.2-Codex lists strong coding specialization as a core strength. GPT-5.2 emphasizes scalable document-level analysis without coding-specific claims. The distinction appears only in the Codex description.

GPT-5.2

Pros

  • +Extensive context window
  • +Support for files, images, and text
  • +Unified multimodal processing
  • +Scalable document-level analysis

Cons

  • High resource use with maximum context
  • No native audio or video modalities
  • Risk of diluted focus in very long inputs
Full GPT-5.2 review →

GPT-5.2-Codex

Pros

  • +Very large context window for extended inputs
  • +Strong coding specialization
  • +Seamless integration of text and image data

Cons

  • Restricted to text and image modalities
  • High resource demands at maximum context length
  • No native support for audio or video
Full GPT-5.2-Codex review →

Summary: GPT-5.2 vs GPT-5.2-Codex

Choose GPT-5.2-Codex when intelligence, speed, and coding performance are priorities. Select GPT-5.2 when native file support and broader multimodal document handling are required. Both remain comparable on price and context length.

Frequently asked questions

GPT-5.2-Codex at 49 versus GPT-5.2 at 46.6.

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