DeepSeek-V3.2 Pricing
DeepSeek-V3.2 is a budget-tier language model from DeepSeek, priced at $0.28 per 1M input tokens and $0.42 per 1M output tokens. Unified chat + reasoning model.
What does DeepSeek-V3.2 cost in practice?
These are real-world monthly estimates based on common workload sizes. They assume a 2:1 input-to-output ratio (typical of chat + retrieval-augmented apps).
| Workload | Input / mo | Output / mo | Monthly cost | Annualized |
|---|---|---|---|---|
| Light prototyping | 0.1M tokens | 0.1M tokens | $0.05 | $0.59 |
| Medium production | 5.0M tokens | 2.5M tokens | $2.45 | $29.40 |
| Heavy production | 50.0M tokens | 25.0M tokens | $24.50 | $294.00 |
Need to model your own usage? Use the LLM pricing calculator →
DeepSeek-V3.2 features
- Tool Use
- Streaming
- Reasoning
Alternatives to DeepSeek-V3.2
Cheaper, same-tier alternatives
If DeepSeek-V3.2 is more than you need, these budget-tier models cost less per token:
Higher-priced same-tier models
If you've outgrown DeepSeek-V3.2, consider these:
Need the cheapest DeepSeek option? DeepSeek-V3 starts at $ 0.14 input / $ 0.28 output per 1M tokens →
FAQ
How much does DeepSeek-V3.2 cost per 1M tokens?
DeepSeek-V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. Cached input drops to $0.03 per 1M tokens — a 90% discount on repeated context.
What is DeepSeek-V3.2's context window?
DeepSeek-V3.2 supports a 128,000-token context window with a maximum output of 16,000 tokens per response.
What features does DeepSeek-V3.2 support?
Tool Use, Streaming, Reasoning.
How much does DeepSeek-V3.2 cost for medium production usage?
For ~5M input + 2.5M output tokens per month, DeepSeek-V3.2 costs approximately $2.45/mo (≈$ 29.40/yr).
What are cheaper alternatives to DeepSeek-V3.2?
Same-tier alternatives that cost less: Mistral Small 3.1 , Llama 3.3 70B , DeepSeek-V3 .