DeepSeek V4-Pro vs GPT-5.2

Detailed pricing comparison and cost analysis.

Updated August 2026

Cost Simulator

DeepSeek V4-Pro Cost
$0.61
GPT-5.2 Cost
$4.55
DeepSeek V4-Pro is 87% cheaper
FeatureDeepSeek V4-ProGPT-5.2
ProviderDeepSeekOpenAI
Input Price (1M)$0.43$1.75
Output Price (1M)$0.87$14.00
Context Window1,000,000128,000

Verdict

DeepSeek V4-Pro costs $0.43 per 1M input tokens and $0.87 per 1M output tokens. GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. DeepSeek V4-Pro is 75% cheaper on input tokens than GPT-5.2. For output tokens, DeepSeek V4-Pro is the more affordable option at $0.87/1M vs $14.00.

On context window, DeepSeek V4-Pro supports 1,000,000 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 V4-Pro

  • ✓ You need the lowest input token cost ($ 0.43/1M)
  • ✓ Your workload is output-heavy — DeepSeek V4-Pro generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with DeepSeek

When to choose GPT-5.2

  • ✓ 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 V4-Pro cheaper than GPT-5.2?

DeepSeek V4-Pro is cheaper on input tokens at $0.43/1M vs $1.75/1M for GPT-5.2 — a 75% saving.

What is the context window of DeepSeek V4-Pro vs GPT-5.2?

DeepSeek V4-Pro has a 1,000,000-token context window. GPT-5.2 has a 128,000-token context window. DeepSeek V4-Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: DeepSeek V4-Pro or GPT-5.2?

The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek V4-Pro is the cheaper option. For maximum context length, DeepSeek V4-Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.