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GPT-5.2 Pro vs GPT-4 Turbo

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.2 Pro Cost
$54.60
GPT-4 Turbo Cost
$16.00
GPT-4 Turbo is 71% cheaper
FeatureGPT-5.2 ProGPT-4 Turbo
ProviderOpenAIOpenAI
Input Price (1M)$21.00$10.00
Output Price (1M)$168.00$30.00
Context Window128,000128,000

Verdict

GPT-5.2 Pro costs $21.00 per 1M input tokens and $168.00 per 1M output tokens. GPT-4 Turbo costs $10.00 per 1M input tokens and $30.00 per 1M output tokens. GPT-4 Turbo is 52% cheaper on input tokens than GPT-5.2 Pro. For output tokens, GPT-4 Turbo is the more affordable option at $30.00/1M vs $168.00.

On context window, GPT-5.2 Pro supports 128,000 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-5.2 Pro

  • ✓ You are already integrated with OpenAI

When to choose GPT-4 Turbo

  • ✓ You need the lowest input token cost ($ 10.00/1M)
  • ✓ Your workload is output-heavy — GPT-4 Turbo 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-5.2 Pro cheaper than GPT-4 Turbo?

GPT-4 Turbo is cheaper on input tokens at $10.00/1M vs $21.00/1M for GPT-5.2 Pro — a 52% saving.

What is the context window of GPT-5.2 Pro vs GPT-4 Turbo?

GPT-5.2 Pro has a 128,000-token context window. GPT-4 Turbo has a 128,000-token context window. GPT-5.2 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.2 Pro or GPT-4 Turbo?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-4 Turbo is the cheaper option. For maximum context length, GPT-5.2 Pro supports 128,000 tokens. Use the comparison table above to find the right fit for your workload.