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us.deepseek.v3.2 Cost Calculator - AWS Bedrock

Calculate the cost of using us.deepseek.v3.2 from AWS Bedrock for your AI applications

us.deepseek.v3.2 Cost Calculator

Mode: Chat

Max: 163,840 tokens

Max: 163,840 tokens

Cost Breakdown

Input Cost$0.00062000
Output Cost$0.001850
Total Cost$0.002470

Pricing Details

Input: $0.0000006200 per token
Output: $0.00000185 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens163,840
Max Output Tokens163,840
Max Tokens163,840

About us.deepseek.v3.2

us.deepseek.v3.2 is a powerful chat AI model offered by AWS Bedrock. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using us.deepseek.v3.2 in your applications.

Pricing Information

Input Cost$0.62 per 1M tokens
Output Cost$1.85 per 1M tokens

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

Technical Specifications

Maximum Input Tokens163,840
Maximum Output Tokens163,840
Maximum Total Tokens163,840

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 163,840 input tokens. The maximum output length is 163,840 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
When should you use us.deepseek.v3.2?

us.deepseek.v3.2 is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
  • Complex problem-solving and multi-step reasoning tasks
  • Planning and strategic decision-making applications
When should you avoid us.deepseek.v3.2?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Applications requiring image, audio, or multimodal inputs
How does us.deepseek.v3.2 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 us.deepseek.v3.2 pricing
  • us.deepseek.v3.2 is a general-purpose AI model provided by AWS Bedrock.
  • Input tokens are priced at $0.62 per 1M tokens.
  • Output tokens are priced at $1.85 per 1M tokens.
  • The model supports a maximum input capacity of 163,840 tokens.
  • Maximum output length is 163,840 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • Features advanced reasoning capabilities for complex problem-solving tasks.
  • AWS Bedrock offers us.deepseek.v3.2 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.