GPT-5.2 vs DeepSeek V3.2

Detailed pricing comparison and cost analysis.

Updated April 2026

Cost Simulator

GPT-5.2 Cost
$4.55
DeepSeek V3.2 Cost
$0.36
DeepSeek V3.2 is 92% cheaper
FeatureGPT-5.2DeepSeek V3.2
ProviderOpenAIDeepSeek
Input Price (1M)$1.75$0.28
Output Price (1M)$14.00$0.42
Context Window128,000128,000

Verdict

GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek V3.2 is 84% cheaper on input tokens than GPT-5.2. For output tokens, DeepSeek V3.2 is the more affordable option at $0.42/1M vs $14.00.

On context window, GPT-5.2 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

  • ✓ You are already integrated with OpenAI

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

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 cheaper than DeepSeek V3.2?

DeepSeek V3.2 is cheaper on input tokens at $0.28/1M vs $1.75/1M for GPT-5.2 — a 84% saving.

What is the context window of GPT-5.2 vs DeepSeek V3.2?

GPT-5.2 has a 128,000-token context window. DeepSeek V3.2 has a 128,000-token context window. GPT-5.2 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.2 or DeepSeek V3.2?

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-5.2 supports 128,000 tokens. Use the comparison table above to find the right fit for your workload.