GPT-4 Turbo vs DeepSeek V3.2
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-4 Turbo | DeepSeek V3.2 |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Input Price (1M) | $10.00 | $0.28 |
| Output Price (1M) | $30.00 | $0.42 |
| Context Window | 128,000 | 128,000 |
Verdict
GPT-4 Turbo costs $10.00 per 1M input tokens and $30.00 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 97% cheaper on input tokens than GPT-4 Turbo. For output tokens, DeepSeek V3.2 is the more affordable option at $0.42/1M vs $30.00.
On context window, GPT-4 Turbo supports 128,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-4 Turbo
- ✓ You are already integrated with OpenAI
When to choose DeepSeek V3.2
- ✓ You need the lowest input token cost ($ 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-4 Turbo cheaper than DeepSeek V3.2? ▼
DeepSeek V3.2 is cheaper on input tokens at $0.28/1M vs $10.00/1M for GPT-4 Turbo — a 97% saving.
What is the context window of GPT-4 Turbo vs DeepSeek V3.2? ▼
GPT-4 Turbo has a 128,000-token context window. DeepSeek V3.2 has a 128,000-token context window. GPT-4 Turbo supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-4 Turbo 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-4 Turbo supports 128,000 tokens. Use the comparison table above to find the right fit for your workload.