Skip to content

GPT-5 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 if you need

  • higher measured intelligence for complex reasoning tasks
  • unified multimodal processing with explicit scalable document-level analysis
  • extensive context handling for large file and image workloads
  • avoidance of unverified performance risks

Choose GPT-5.2 if you need

  • lower output price at $10 per million tokens
  • known high output speed of 171.98 tokens per second
  • seamless native text-image-file integration at reduced cost
  • maximum context use where speed data is required

Verdict

GPT-5.2 leads with a substantially higher intelligence_index of 46.6 versus GPT-5's 21.8, plus stronger emphasis on unified multimodal processing and scalable document analysis. GPT-5 counters with lower price at $10/1M versus $14/1M and a documented output speed of 171.98 t/s. Both share identical 400k context and OpenAI proprietary status, though GPT-5 carries an explicit hypothetical-model caveat.

GPT-5 vs GPT-5.2: side by side

SpecGPT-5GPT-5.2Winner
Intelligence21.846.6GPT-5.2
Output speed172 t/sTie
Output price$10.00/1M$14.00/1MGPT-5
Context400K400KTie
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.2

GPT-5.2 reports an intelligence_index of 46.6 compared with GPT-5's 21.8. This gap favors GPT-5.2 for tasks requiring stronger reasoning. Both models are otherwise matched on context size and provider.

Pricing

Winner: GPT-5

GPT-5 lists output price at $10 per million tokens while GPT-5.2 lists $14. The $4 difference gives GPT-5 a clear cost advantage on equivalent workloads. No other pricing dimensions are provided.

Speed

Winner: GPT-5

GPT-5 supplies a measured output speed of 171.98 t/s; GPT-5.2 speed is unspecified. GPT-5 therefore supplies verifiable throughput data while GPT-5.2 does not.

Multimodal Support

Winner: Tie

Both models list 400k context and support for files, images, and text. GPT-5.2 adds emphasis on unified processing and document analysis; GPT-5 stresses native multimodal input and seamless integration. Neither includes audio or video.

GPT-5

Pros

  • +Very large context window
  • +Native multimodal input support
  • +Seamless text-image-file integration

Cons

  • Hypothetical model with unverified performance
  • High resource demands for maximum context
  • Potential latency on large multimodal tasks
Full GPT-5 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 vs GPT-5.2

Select GPT-5.2 when maximum intelligence and documented multimodal document capabilities outweigh cost. Select GPT-5 when lower price and confirmed speed are priorities and the hypothetical-model note is acceptable. The intelligence gap is the clearest differentiator in the supplied data.

Frequently asked questions

GPT-5.2 with an intelligence_index of 46.6 versus GPT-5's 21.8.

More ai model comparisons