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deepseek-chat Cost Calculator - OpenRouter

Calculate the cost of using deepseek-chat from OpenRouter for your AI applications

deepseek-chat Cost Calculator

Mode: Chat

Max: 65,536 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00030000
Output Cost$0.001200
Total Cost$0.001500

Pricing Details

Input: $0.0000003000 per token
Output: $0.00000120 per token
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Model Specifications

Limits

Max Input Tokens65,536
Max Output Tokens8,192
Max Tokens8,192

About deepseek-chat

deepseek-chat is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using deepseek-chat in your applications.

Pricing Information

Input Cost$0.30 per 1M tokens
Output Cost$1.20 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens65,536
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 65,536 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

Prompt Caching - Optimize repeated prompts
When should you use deepseek-chat?

deepseek-chat is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid deepseek-chat?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does deepseek-chat compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding deepseek-chat pricing
  • deepseek-chat is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $0.30 per 1M tokens.
  • Output tokens are priced at $1.20 per 1M tokens.
  • The model supports a maximum input capacity of 65,536 tokens.
  • Maximum output length is 8,192 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Features prompt caching to optimize costs for repeated prompts.
  • OpenRouter offers deepseek-chat for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.