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GPT-5.1-Codex-Max vs GPT-5.2

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-5.1-Codex-Max if you need

  • Unified processing of files, images, and text for scalable document-level analysis
  • Published intelligence_index of 46.6 for measurable performance tracking
  • Extensive context window with support for very large multimodal inputs

Choose GPT-5.2 if you need

  • Lower output price at $10 per million tokens versus $14
  • Strong coding focus combined with text and image inputs for technical workflows
  • Handles very large 400k contexts in complex coding scenarios

Verdict

GPT-5.2 leads in documented intelligence (46.6 index) and broader multimodal support including files alongside images and text, while GPT-5.1-Codex-Max is cheaper at $10 per million tokens and emphasizes coding-focused workflows. Both share identical 400k context and proprietary OpenAI origins with similar limitations on media types and resource demands. GPT-5.2 suits general large-scale document analysis; GPT-5.1-Codex-Max fits technical coding tasks where cost matters more than the published intelligence score.

GPT-5.1-Codex-Max vs GPT-5.2: side by side

SpecGPT-5.1-Codex-MaxGPT-5.2Winner
Intelligence46.6Tie
Output speedTie
Output price$10.00/1M$14.00/1MGPT-5.1-Codex-Max
Context400K400KTie
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIOpenAITie

Detailed analysis

Pricing

Winner: GPT-5.1-Codex-Max

GPT-5.1-Codex-Max costs $10 per million tokens while GPT-5.2 costs $14 per million tokens. Both are proprietary OpenAI models with identical context sizes, so the lower price gives GPT-5.1-Codex-Max a clear cost advantage for equivalent context usage.

Multimodal Capabilities

Winner: GPT-5.2

GPT-5.2 explicitly supports files, images, and text with unified multimodal processing and scalable document analysis. GPT-5.1-Codex-Max is limited to text and image inputs without mention of file support, making GPT-5.2 broader for mixed media tasks.

Intelligence & Focus

Winner: GPT-5.2

GPT-5.2 provides a published intelligence_index of 46.6; GPT-5.1-Codex-Max has no index listed. GPT-5.1-Codex-Max instead highlights a strong coding focus and suitability for complex technical workflows, creating a trade-off between measured intelligence and domain specialization.

Context Handling

Winner: Tie

Both models list exactly 400000 context tokens and note high resource demands at maximum context. GPT-5.2 adds a limitation around risk of diluted focus in very long inputs while GPT-5.1-Codex-Max stresses handling very large contexts for coding tasks.

GPT-5.1-Codex-Max

Pros

  • +Handles very large contexts
  • +Strong coding focus
  • +Combines text and image inputs
  • +Suitable for complex technical workflows

Cons

  • Limited to text and image modalities
  • High resource demands for large contexts
  • No support for other media types
Full GPT-5.1-Codex-Max review →

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 →

Summary: GPT-5.1-Codex-Max vs GPT-5.2

Choose GPT-5.2 when published intelligence scores and file-inclusive multimodal processing are priorities. Select GPT-5.1-Codex-Max for lower cost and coding-centric text-plus-image work. Both remain comparable on context size and lack of audio or video support.

Frequently asked questions

GPT-5.2 is better for general multimodal document tasks due to its 46.6 intelligence index and file support, while GPT-5.1-Codex-Max is better for cost-sensitive coding workflows.

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