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DeepSeek V3.2 vs GPT-5 Pro

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

DeepSeek V3.2 Cost
$0.36
GPT-5 Pro Cost
$39.00
DeepSeek V3.2 is 99% cheaper
FeatureDeepSeek V3.2GPT-5 Pro
ProviderDeepSeekOpenAI
Input Price (1M)$0.28$15.00
Output Price (1M)$0.42$120.00
Context Window128,000400,000

Verdict

DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. GPT-5 Pro costs $15.00 per 1M input tokens and $120.00 per 1M output tokens. DeepSeek V3.2 is 98% cheaper on input tokens than GPT-5 Pro. For output tokens, DeepSeek V3.2 is the more affordable option at $0.42/1M vs $120.00.

On context window, GPT-5 Pro 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 DeepSeek V3.2

  • ✓ You need the lowest input token cost ($ 0.28/1M)
  • ✓ Your workload is output-heavy — DeepSeek V3.2 generates text cheaper
  • ✓ You are already integrated with DeepSeek

When to choose GPT-5 Pro

  • ✓ You need a larger context window (400,000 tokens)
  • ✓ 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 DeepSeek V3.2 cheaper than GPT-5 Pro?

DeepSeek V3.2 is cheaper on input tokens at $0.28/1M vs $15.00/1M for GPT-5 Pro — a 98% saving.

What is the context window of DeepSeek V3.2 vs GPT-5 Pro?

DeepSeek V3.2 has a 128,000-token context window. GPT-5 Pro has a 400,000-token context window. GPT-5 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: DeepSeek V3.2 or GPT-5 Pro?

The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek V3.2 is the cheaper option. For maximum context length, GPT-5 Pro supports 400,000 tokens. Use the comparison table above to find the right fit for your workload.