GPT-5.2 vs DeepSeek V4-Pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5.2 | DeepSeek V4-Pro |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Input Price (1M) | $1.75 | $1.32 |
| Output Price (1M) | $14.00 | $3.96 |
| Context Window | 128,000 | 1,000,000 |
Verdict
GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. DeepSeek V4-Pro costs $1.32 per 1M input tokens and $3.96 per 1M output tokens. DeepSeek V4-Pro is 25% cheaper on input tokens than GPT-5.2. For output tokens, DeepSeek V4-Pro is the more affordable option at $3.96/1M vs $14.00.
On context window, DeepSeek V4-Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5.2
- ✓ You are already integrated with OpenAI
When to choose DeepSeek V4-Pro
- ✓ You need the lowest input token cost ($ 1.32/1M)
- ✓ 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
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 V4-Pro? ▼
DeepSeek V4-Pro is cheaper on input tokens at $1.32/1M vs $1.75/1M for GPT-5.2 — a 25% saving.
What is the context window of GPT-5.2 vs DeepSeek V4-Pro? ▼
GPT-5.2 has a 128,000-token context window. DeepSeek V4-Pro has a 1,000,000-token context window. DeepSeek V4-Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5.2 or DeepSeek V4-Pro? ▼
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.