DeepSeek V3.2 vs DeepSeek R1
Detailed pricing comparison and cost analysis.
Updated April 2026
Cost Simulator
| Feature | DeepSeek V3.2 | DeepSeek R1 |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Input Price (1M) | $0.28 | $0.28 |
| Output Price (1M) | $0.42 | $0.42 |
| Context Window | 128,000 | 64,000 |
Verdict
DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek R1 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. DeepSeek V3.2 and DeepSeek R1 have identical input token pricing. For output tokens, DeepSeek V3.2 is the more affordable option at $0.42/1M vs $0.42.
On context window, DeepSeek V3.2 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 DeepSeek V3.2
- ✓ You need a larger context window (128,000 tokens)
- ✓ You are already integrated with DeepSeek
When to choose DeepSeek R1
- ✓ 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 DeepSeek V3.2 cheaper than DeepSeek R1? ▼
DeepSeek V3.2 and DeepSeek R1 have identical input token pricing at $0.28/1M tokens.
What is the context window of DeepSeek V3.2 vs DeepSeek R1? ▼
DeepSeek V3.2 has a 128,000-token context window. DeepSeek R1 has a 64,000-token context window. DeepSeek V3.2 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: DeepSeek V3.2 or DeepSeek R1? ▼
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, DeepSeek V3.2 supports 128,000 tokens. Use the comparison table above to find the right fit for your workload.