GPT-5.4 mini vs GPT-5

Detailed pricing comparison and cost analysis.

Updated June 2026

Cost Simulator

GPT-5.4 mini Cost
$1.65
GPT-5 Cost
$3.25
GPT-5.4 mini is 49% cheaper
FeatureGPT-5.4 miniGPT-5
ProviderOpenAIOpenAI
Input Price (1M)$0.75$1.25
Output Price (1M)$4.50$10.00
Context Window400,000400,000

Verdict

GPT-5.4 mini costs $0.75 per 1M input tokens and $4.50 per 1M output tokens. GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. GPT-5.4 mini is 40% cheaper on input tokens than GPT-5. For output tokens, GPT-5.4 mini is the more affordable option at $4.50/1M vs $10.00.

On context window, GPT-5.4 mini supports 400,000 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 mini

  • ✓ You need the lowest input token cost ($ 0.75/1M)
  • ✓ Your workload is output-heavy — GPT-5.4 mini generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose GPT-5

  • ✓ 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 mini cheaper than GPT-5?

GPT-5.4 mini is cheaper on input tokens at $0.75/1M vs $1.25/1M for GPT-5 — a 40% saving.

What is the context window of GPT-5.4 mini vs GPT-5?

GPT-5.4 mini has a 400,000-token context window. GPT-5 has a 400,000-token context window. GPT-5.4 mini supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.4 mini or GPT-5?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.4 mini is the cheaper option. For maximum context length, GPT-5.4 mini supports 400,000 tokens. Use the comparison table above to find the right fit for your workload.