UPDATES
Try Bifrost Enterprise free for 14 days.
Explore now

kimi-k2-thinking-maas Cost Calculator - Vertex Ai-moonshot Models

Calculate the cost of using kimi-k2-thinking-maas from Vertex Ai-moonshot Models for your AI applications

kimi-k2-thinking-maas Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.00060000
Output Cost$0.002500
Total Cost$0.003100

Pricing Details

Input: $0.0000006000 per token
Output: $0.00000250 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Book a Demo
or, Get started here

Model Specifications

Capabilities

✓Function Calling
✓Web Search

Limits

Max Input Tokens256,000
Max Output Tokens256,000
Max Tokens256,000

About kimi-k2-thinking-maas

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

Pricing Information

Input Cost$0.60 per 1M tokens
Output Cost$2.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens256,000
Maximum Total Tokens256,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 256,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Web Search - Access real-time web information
When should you use kimi-k2-thinking-maas?

kimi-k2-thinking-maas 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-thinking-maas?
  • 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-thinking-maas 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-thinking-maas pricing
  • kimi-k2-thinking-maas is a general-purpose AI model provided by Vertex Ai-moonshot Models.
  • Input tokens are priced at $0.60 per 1M tokens.
  • Output tokens are priced at $2.50 per 1M tokens.
  • The model supports a maximum input capacity of 256,000 tokens.
  • Maximum output length is 256,000 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.
  • Includes real-time web search capabilities for accessing current information.
  • Vertex Ai-moonshot Models offers kimi-k2-thinking-maas 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.

← Back to All ModelsView All Vertex Ai-moonshot Models Models
kimi-k2-thinking-maas Cost Calculator - Vertex Ai-moonshot Models | Bifrost