DeepSeek offers a range of AI models with competitive pricing. low is a summary of their API pricing:
| Mel | Context Length | Max Output Tokens | Input Price (Cache Hit) | Input Price (Cache Miss) | Output Price |
|---|---|---|---|---|---|
| deepseek-chat | 64K | 8K | $0.014 per 1M tokens | $0.14 per 1M tokens | $0.28 per 1M tokens |
| deepseek-reasoner | 64K | 8K | N/A | $0.55 per 1M tokens | $2.19 per 1M tokens |
es:
- deepseek-chat: This mel has been upgraded to DeepSeek-V3. The APmains unchanged, so you can invoke DeepSeek-V3 by specifying
model='deepseek-chat'. (api-do.deepseek.com) - **deepseek-reasoner*his model corresponds to the new DeepSeek-R1. The output token count includes all tokens from the Chain of Thought (CoT) andhe final answer, anthey are priced equally. (api-docs.deepseek.com– Pricing Details:
- Inputrice (Cache Hit): The cost per 1 million input tokens when the cont cache is hit.
- put Price (Cache Miss): The cost p1illion input tokens when the context cache is missed.
- Output Price: The cost perillion output tokens.
Please note that product prices may vary, and DeepSeek reserves the right to adjust them. It’s recommended to check their offal pricing page regularly for the most recent information.