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GPT-5.2 vs GPT-5 Mini

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

  • Choose GPT-5.2 if you need the highest intelligence index for complex multimodal reasoning.
  • Choose GPT-5.2 if you need scalable document-level analysis across files, images, and text.
  • Choose GPT-5.2 if you need unified multimodal processing on very large inputs.
  • Choose GPT-5.2 if maximum context depth outweighs cost and speed considerations.

Choose GPT-5 Mini if you need

  • Choose GPT-5 Mini if you need the lowest output price at $2 per million tokens.
  • Choose GPT-5 Mini if you need a documented high output speed of 96.66 tokens per second.
  • Choose GPT-5 Mini if you need efficient handling of very large contexts in multi-turn tasks.
  • Choose GPT-5 Mini if you need a compact multimodal design that balances cost and capability.

Verdict

GPT-5.2 leads on raw intelligence (46.6 vs 38.9) and document-scale multimodal analysis, while GPT-5 Mini delivers the same 400k context at far lower cost and with a documented high output speed. GPT-5.2 suits maximum-depth file and image tasks; GPT-5 Mini suits efficient multi-turn multimodal work where price and speed matter more than peak reasoning.

GPT-5.2 vs GPT-5 Mini: side by side

SpecGPT-5.2GPT-5 MiniWinner
Intelligence46.638.9GPT-5.2
Output speed97 t/sTie
Output price$14.00/1M$2.00/1MGPT-5 Mini
Context400K400KTie
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.2

GPT-5.2 scores 46.6 on the intelligence index while GPT-5 Mini scores 38.9. This gap indicates stronger performance on complex reasoning tasks for the full-size model. Both share identical context length and multimodal inputs.

Pricing

Winner: GPT-5 Mini

GPT-5 Mini costs $2 per million output tokens versus $14 for GPT-5.2. The seven-fold price difference makes the Mini far more economical for high-volume use. Both are proprietary OpenAI models with the same 400k context.

Speed & Efficiency

Winner: GPT-5 Mini

GPT-5 Mini lists an output speed of 96.66 tokens per second; GPT-5.2 speed is unspecified. GPT-5 Mini's strengths emphasize efficient large-context handling while GPT-5.2 notes higher resource use at maximum context. This favors the Mini for latency-sensitive workloads.

Multimodal Capabilities

Winner: Tie

Both models support text, image, and file inputs with a 400k context window. GPT-5.2 highlights unified processing and scalable document analysis; GPT-5 Mini highlights integration and complex multi-turn tasks. Neither lists native audio or video support.

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 Mini

Pros

  • +Handles very large contexts efficiently
  • +Integrates text, image, and file inputs
  • +Suitable for complex multi-turn tasks
  • +Compact multimodal design

Cons

  • Reduced depth on highly complex reasoning vs full-size models
  • Performance depends on input clarity across modalities
  • May require careful prompting for nuanced outputs
Full GPT-5 Mini review →

Summary: GPT-5.2 vs GPT-5 Mini

Select GPT-5.2 when intelligence and deep document analysis justify the higher price. Select GPT-5 Mini when speed, cost efficiency, and solid multimodal performance on large contexts are priorities. Both remain proprietary OpenAI options with identical context size.

Frequently asked questions

GPT-5.2 is stronger on intelligence and depth; GPT-5 Mini is stronger on price and speed. The better choice depends on whether maximum reasoning or cost-efficiency is the priority.

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