DeepSeek pricing
DeepSeek V3.2 Cost Calculator
DeepSeek V3.2 is an open-weight MoE model with frontier-tier reasoning at fraction of US model prices. 164K context. Strong on Chinese and code. Output token cost ($0.40/1M) is among the cheapest of any production-capable model.
Input
$0.28
per 1M tokens
Output
$0.40
per 1M tokens
Context window
164K
tokens
Released
2025-09
Cutoff 2025-07
≈ Estimated tokenizer·$0.28 in·$0.40 out (per 1M)
Quick start with a use case
Total cost per call$0.000480
Input$0.000280
Output$0.000200
Cost comparison
Standard
$0.000480
With Caching
Not supported
With Batch
Not supported
Detailed pricing
DeepSeek V3.2 pricing breakdown
All pricing dimensions including caching and batch discounts.
| Type | Price (per 1M tokens) |
|---|---|
| Input | $0.2800 |
| Output | $0.4000 |
Last verified 2026-05-12 · DeepSeek official pricing · ⚠️ Spotted a wrong price? Report in 30s →
How it compares
DeepSeek V3.2 vs alternatives
Single-call cost (1000 input + 500 output tokens) ranked from cheapest.
| Model | Per call |
|---|---|
DeepSeek V3.2 DeepSeek · this page | $0.000480 |
| GPT-5 mini OpenAI | $0.001250 |
| Mistral Large 3 Mistral | $0.001250 |
| Gemini 3 Flash Google | $0.002000 |
| o4-mini OpenAI | $0.003300 |
| Claude Haiku 4.5 Anthropic | $0.003500 |
Recommended use
When to choose DeepSeek V3.2
DeepSeek V3.2 shines for general-purpose tasks, code generation and review, mathematical problem-solving, and complex multi-step reasoning. Token counts are estimated within ~10-20% margin.
✓Context window of 164K tokens handles typical chat and document tasks.
✓Prompt caching available — significant savings for repeated system prompts.
✓Tool / function calling supported.
FAQ
Frequently asked questions
DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.40 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0005. Use the calculator above to estimate your specific use case.
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