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moonshotai.kimi-k2-thinking Cost Calculator - AWS Bedrock

Calculate the cost of using moonshotai.kimi-k2-thinking from AWS Bedrock for your AI applications

moonshotai.kimi-k2-thinking Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00073000
Output Cost$0.003030
Total Cost$0.003760

Pricing Details

Input: $0.0000007300 per token
Output: $0.00000303 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens262,144
Max Tokens262,144

About moonshotai.kimi-k2-thinking

moonshotai.kimi-k2-thinking 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 moonshotai.kimi-k2-thinking in your applications.

Pricing Information

Input Cost$0.73 per 1M tokens
Output Cost$3.03 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens262,144
Maximum Total Tokens262,144

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
When should you use moonshotai.kimi-k2-thinking?

moonshotai.kimi-k2-thinking 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 moonshotai.kimi-k2-thinking?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Applications requiring image, audio, or multimodal inputs
How does moonshotai.kimi-k2-thinking 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 moonshotai.kimi-k2-thinking pricing
  • moonshotai.kimi-k2-thinking is a general-purpose AI model provided by AWS Bedrock.
  • Input tokens are priced at $0.73 per 1M tokens.
  • Output tokens are priced at $3.03 per 1M tokens.
  • The model supports a maximum input capacity of 262,144 tokens.
  • Maximum output length is 262,144 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 moonshotai.kimi-k2-thinking 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.