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GPT-5.4 vs o4-mini

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.4 Cost
$5.50
o4-mini Cost
$1.98
o4-mini is 64% cheaper
FeatureGPT-5.4o4-mini
ProviderOpenAIOpenAI
Input Price (1M)$2.50$1.10
Output Price (1M)$15.00$4.40
Context Window1,050,000200,000

Verdict

GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens. o4-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens. o4-mini is 56% cheaper on input tokens than GPT-5.4. For output tokens, o4-mini is the more affordable option at $4.40/1M 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 o4-mini

  • ✓ You need the lowest input token cost ($ 1.10/1M)
  • ✓ Your workload is output-heavy — o4-mini 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 o4-mini?

o4-mini is cheaper on input tokens at $1.10/1M vs $2.50/1M for GPT-5.4 — a 56% saving.

What is the context window of GPT-5.4 vs o4-mini?

GPT-5.4 has a 1,050,000-token context window. o4-mini has a 200,000-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 o4-mini?

The best choice depends on your use case. For cost efficiency on input tokens, o4-mini 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.