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kimi-k2-instruct-0905 Cost Calculator - Groq

Calculate the cost of using kimi-k2-instruct-0905 from Groq for your AI applications

kimi-k2-instruct-0905 Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.001000
Output Cost$0.003000
Total Cost$0.004000

Pricing Details

Input: $0.00000100 per token
Output: $0.00000300 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens262,144
Max Output Tokens16,384
Max Tokens16,384

About kimi-k2-instruct-0905

kimi-k2-instruct-0905 is a powerful chat AI model offered by Groq. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using kimi-k2-instruct-0905 in your applications.

Pricing Information

Input Cost$1.00 per 1M tokens
Output Cost$3.00 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 Tokens16,384
Maximum Total Tokens16,384

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 16,384 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Response Schema - Structured output formatting
When should you use kimi-k2-instruct-0905?

kimi-k2-instruct-0905 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
When should you avoid kimi-k2-instruct-0905?
  • 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
How does kimi-k2-instruct-0905 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 kimi-k2-instruct-0905 pricing
  • kimi-k2-instruct-0905 is a general-purpose AI model provided by Groq.
  • Input tokens are priced at $1.00 per 1M tokens.
  • Output tokens are priced at $3.00 per 1M tokens.
  • The model supports a maximum input capacity of 262,144 tokens.
  • Maximum output length is 16,384 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.
  • Groq offers kimi-k2-instruct-0905 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.

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kimi-k2-instruct-0905 Cost Calculator - Groq | Bifrost