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chat-bison-001 Cost Calculator - PaLM

Calculate the cost of using chat-bison-001 from PaLM for your AI applications

chat-bison-001 Cost Calculator

Mode: Chat

Max: 8,192 tokens

Max: 4,096 tokens

Cost Breakdown

Input Cost$0.00012500
Output Cost$0.00012500
Total Cost$0.00025000

Pricing Details

Input: $0.0000001250 per token
Output: $0.0000001250 per token
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Model Specifications

Limits

Max Input Tokens8,192
Max Output Tokens4,096
Max Tokens4,096

About chat-bison-001

chat-bison-001 is a powerful chat AI model offered by PaLM. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using chat-bison-001 in your applications.

Pricing Information

Input Cost$0.13 per 1M tokens
Output Cost$0.13 per 1M tokens

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

Technical Specifications

Maximum Input Tokens8,192
Maximum Output Tokens4,096
Maximum Total Tokens4,096

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens. The maximum output length is 4,096 tokens.

When should you use chat-bison-001?

chat-bison-001 is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid chat-bison-001?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does chat-bison-001 compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding chat-bison-001 pricing
  • chat-bison-001 is a general-purpose AI model provided by PaLM.
  • Input tokens are priced at $0.13 per 1M tokens.
  • Output tokens are priced at $0.13 per 1M tokens.
  • The model supports a maximum input capacity of 8,192 tokens.
  • Maximum output length is 4,096 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • PaLM offers chat-bison-001 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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