Row 42587

Row ID: 42587 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 42587 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I did the math with GPT-4 based on OpenAI monthly active users.

Based on the OpenAI pricing page, the cost of using GPT-4o is $5 per 1 million input tokens and $15 per 1 million output tokens.

Assuming a balanced usage of input and output tokens:

* The combined cost per 1 million tokens would be $20. * For 100 million users, the cost would scale linearly with the number of tokens processed per user.

For comparison, Google's cost per search query is much lower. Estimates suggest Google handles a search query for around $0.00025 to $0.00050 each.

Let's calculate:

1. **GPT-4o Cost Calculation**:    - Assuming each user generates 100 tokens (input + output) per interaction.    - 100 million users \* 100 tokens = 10 billion tokens.    - 10 billion tokens / 1 million = 10,000 units.    - 10,000 units \* $20 = $200,000. 2. **Google Search Cost Calculation**:    - Using the upper estimate: $0.00050 per query.    - 100 million users \* $0.00050 = $50,000.

**Summary**:

* **GPT-4o for 100 million users**: $200,000. * **Google search for 100 million users**: $50,000. * GPT-4o per user: $0.002. Google search per user: $0.00050.

GPT-4o is more expensive primarily due to the intensive computational requirements for generating responses.

FieldValue
text I did the math with GPT-4 based on OpenAI monthly active users.  Based on the OpenAI pricing page, the cost of using GPT-4o is $5 per 1 million input tokens and $15 per 1 million output tokens. Assuming a balanced usage of input and output tokens: * The combined cost per 1 million tokens would be $20. * For 100 million users, the cost would scale linearly with the number of tokens processed per user. For comparison, Google's cost per search query is much lower. Estimates suggest Google handl…
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-22
username_encoded Z0FBQUFBQm5Lak1OUjZreVU1eWZvUlRYSU9OWHA3anZFYkxHdnRKS3Z2QU81R0VwSWt6aE9zWS0xMGVianprdG1FLVdOaFliSGFwNEpmdWF1clk3VEpQcWwwOEwySzZEd2VLZ3JZc3BaM1FBVXBzUnlIbWxCNlk9
url_encoded Z0FBQUFBQm5Lak9kcW9mNnI4UkFVODdFMXZKV0w1M2dXVVEwNnJqWnhUTVhYQXdReExwVmFYS3lGMy1PVE9pcGZOaXVvd1lqaG4xR29QTE1yV1RIZmczdjlIdmRLdDZ0U25ieUxCRzJHazdJdVN1bklUMVdjdVBkdDVvbzdTdnVaWkRTc00zb2tIRDJhaWoxMmtIRDFmUnVHVlA5aWJxc3ljNDVYdFNjYXdlNXR2a3Fza0pmNGIwVmJGXzhScWtiOHpwbktkN19TWHFyMnlQdExGVDRJNkNIb1liZ1c0WHpXZz09

Raw Record

{
  "text": "I did the math with GPT-4 based on OpenAI monthly active users. \n\nBased on the OpenAI pricing page, the cost of using GPT-4o is $5 per 1 million input tokens and $15 per 1 million output tokens.\n\nAssuming a balanced usage of input and output tokens:\n\n* The combined cost per 1 million tokens would be $20.\n* For 100 million users, the cost would scale linearly with the number of tokens processed per user.\n\nFor comparison, Google's cost per search query is much lower. Estimates suggest Google handles a search query for around $0.00025 to $0.00050 each.\n\nLet's calculate:\n\n1. **GPT-4o Cost Calculation**:    - Assuming each user generates 100 tokens (input + output) per interaction.    - 100 million users \\* 100 tokens = 10 billion tokens.    - 10 billion tokens / 1 million = 10,000 units.    - 10,000 units \\* $20 = $200,000.\n2. **Google Search Cost Calculation**:    - Using the upper estimate: $0.00050 per query.    - 100 million users \\* $0.00050 = $50,000.\n\n**Summary**:\n\n* **GPT-4o for 100 million users**: $200,000.\n* **Google search for 100 million users**: $50,000.\n* GPT-4o per user: $0.002.\nGoogle search per user: $0.00050.\n\nGPT-4o is more expensive primarily due to the intensive computational requirements for generating responses.",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-22",
  "username_encoded": "Z0FBQUFBQm5Lak1OUjZreVU1eWZvUlRYSU9OWHA3anZFYkxHdnRKS3Z2QU81R0VwSWt6aE9zWS0xMGVianprdG1FLVdOaFliSGFwNEpmdWF1clk3VEpQcWwwOEwySzZEd2VLZ3JZc3BaM1FBVXBzUnlIbWxCNlk9",
  "url_encoded": "Z0FBQUFBQm5Lak9kcW9mNnI4UkFVODdFMXZKV0w1M2dXVVEwNnJqWnhUTVhYQXdReExwVmFYS3lGMy1PVE9pcGZOaXVvd1lqaG4xR29QTE1yV1RIZmczdjlIdmRLdDZ0U25ieUxCRzJHazdJdVN1bklUMVdjdVBkdDVvbzdTdnVaWkRTc00zb2tIRDJhaWoxMmtIRDFmUnVHVlA5aWJxc3ljNDVYdFNjYXdlNXR2a3Fza0pmNGIwVmJGXzhScWtiOHpwbktkN19TWHFyMnlQdExGVDRJNkNIb1liZ1c0WHpXZz09"
}
Explore Dataset Explore Row

Entry Information