GPT-4o API Inference Cost Measure

A GPT-4o API Inference Cost Measure is a 3rd-Party LLM inference cost measure for the cost associated with generating each output token during an inference API call of GPT-4o.

• Context:
  • ...
• Example(s):
  • GPT-4o Blended Price Measure, such as $7.50 per 1M tokens.
  • GPT-4o Input Token Price Measure, such as 5.00 per 1M tokens.
  • GPT-4o Output Token Price Measure, such as $15.00 per 1M tokens.
  • ...
• Counter-Example(s):
  • ...
• See: Compute Cost per Token, Energy Consumption per Token, Scalability Cost per Token.

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References

2024

• https://artificialanalysis.ai/models/gpt-4o#pricing
  • NOTES:
    1. Blended Price**: GPT-4o has a blended price of $7.50 per 1M tokens, combining both input and output token costs.
    2. Input Token Price**: The input token price for GPT-4o is $5.00 per 1M tokens.
    3. Output Token Price**: The output token price for GPT-4o is $15.00 per 1M tokens.
    4. Cost-Effective Quadrant**: In the quality vs. price analysis, GPT-4o is in the top-left quadrant, indicating high quality at a relatively lower price.
    5. Balanced Pricing Structure**: GPT-4o shows a balanced structure in input and output prices, making it cost-efficient.
    6. Competitive Performance**: GPT-4o offers a high-quality index and efficient performance metrics at a moderate price point.
    7. High Output Speed**: With an output speed of 83 tokens per second, GPT-4o is efficient in generating tokens quickly.
    8. Low Latency**: GPT-4o has a low latency of 0.44 seconds, beneficial for real-time applications.
    9. Comparison Advantage**: GPT-4o is more affordable than high-cost models like Claude 3 Opus while maintaining competitive performance.
    10. Attractive Option**: The combination of reasonable pricing, high output speed, and low latency makes GPT-4o an appealing choice for various AI applications.

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