Ask

GPT-5.4 Pro vs o1

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.4 Pro Cost
$66.00
o1 Cost
$27.00
o1 is 59% cheaper
FeatureGPT-5.4 Proo1
ProviderOpenAIOpenAI
Input Price (1M)$30.00$15.00
Output Price (1M)$180.00$60.00
Context Window1,050,000200,000

Verdict

GPT-5.4 Pro costs $30.00 per 1M input tokens and $180.00 per 1M output tokens. o1 costs $15.00 per 1M input tokens and $60.00 per 1M output tokens. o1 is 50% cheaper on input tokens than GPT-5.4 Pro. For output tokens, o1 is the more affordable option at $60.00/1M vs $180.00.

On context window, GPT-5.4 Pro 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 Pro

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

When to choose o1

  • ✓ You need the lowest input token cost ($ 15.00/1M)
  • ✓ Your workload is output-heavy — o1 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 Pro cheaper than o1?

o1 is cheaper on input tokens at $15.00/1M vs $30.00/1M for GPT-5.4 Pro — a 50% saving.

What is the context window of GPT-5.4 Pro vs o1?

GPT-5.4 Pro has a 1,050,000-token context window. o1 has a 200,000-token context window. GPT-5.4 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.4 Pro or o1?

The best choice depends on your use case. For cost efficiency on input tokens, o1 is the cheaper option. For maximum context length, GPT-5.4 Pro supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.