GPT-5.4 vs GPT-5.2

Detailed pricing comparison and cost analysis.

Updated April 2026

Cost Simulator

GPT-5.4 Cost
$5.50
GPT-5.2 Cost
$4.55
GPT-5.2 is 17% cheaper
FeatureGPT-5.4GPT-5.2
ProviderOpenAIOpenAI
Input Price (1M)$2.50$1.75
Output Price (1M)$15.00$14.00
Context Window1,050,000128,000

Verdict

GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens. GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. GPT-5.2 is 30% cheaper on input tokens than GPT-5.4. For output tokens, GPT-5.2 is the more affordable option at $14.00/1M vs $15.00.

On context window, GPT-5.4 supports 1,050,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GPT-5.4

  • ✓ You need a larger context window (1,050,000 tokens)
  • ✓ You are already integrated with OpenAI

When to choose GPT-5.2

  • ✓ You need the lowest input token cost ($ 1.75/1M)
  • ✓ Your workload is output-heavy — GPT-5.2 generates text cheaper
  • ✓ You are already integrated with OpenAI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GPT-5.4 cheaper than GPT-5.2?

GPT-5.2 is cheaper on input tokens at $1.75/1M vs $2.50/1M for GPT-5.4 — a 30% saving.

What is the context window of GPT-5.4 vs GPT-5.2?

GPT-5.4 has a 1,050,000-token context window. GPT-5.2 has a 128,000-token context window. GPT-5.4 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.4 or GPT-5.2?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.2 is the cheaper option. For maximum context length, GPT-5.4 supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.