GPT-4o API Inference Cost Measure
Jump to navigation
Jump to search
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.
References
2024
- https://artificialanalysis.ai/models/gpt-4o#pricing
- NOTES:
- Blended Price**: GPT-4o has a blended price of $7.50 per 1M tokens, combining both input and output token costs.
- Input Token Price**: The input token price for GPT-4o is $5.00 per 1M tokens.
- Output Token Price**: The output token price for GPT-4o is $15.00 per 1M tokens.
- 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.
- Balanced Pricing Structure**: GPT-4o shows a balanced structure in input and output prices, making it cost-efficient.
- Competitive Performance**: GPT-4o offers a high-quality index and efficient performance metrics at a moderate price point.
- High Output Speed**: With an output speed of 83 tokens per second, GPT-4o is efficient in generating tokens quickly.
- Low Latency**: GPT-4o has a low latency of 0.44 seconds, beneficial for real-time applications.
- Comparison Advantage**: GPT-4o is more affordable than high-cost models like Claude 3 Opus while maintaining competitive performance.
- Attractive Option**: The combination of reasonable pricing, high output speed, and low latency makes GPT-4o an appealing choice for various AI applications.
- NOTES: