├── LICENSE
├── README.md
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/LICENSE:
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1 | MIT License
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3 | Copyright (c) 2023 rUv
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/README.md:
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1 | # GPT API Cost Estimation for Enterprises
2 |
3 | _By rUv, CTO Generative AI, EY Americas
4 |
5 | ## HTML OpenAi Cost Estimator
6 | https://ruvnet.github.io/openai-cost-estimator
7 |
8 | ## Purpose
9 |
10 | This document aims to provide a structured approach to estimating the costs associated with using OpenAI's GPT models in an enterprise setting. It covers various factors and formulas to offer a comprehensive view of potential costs.
11 |
12 | ### Understanding Token Costs
13 |
14 | The primary driver for costs in OpenAI deployments is token usage. Tokens can be as short as one character or as long as one word. Costs are incurred for both input and output tokens.
15 |
16 | **Formula:**
17 |
18 | ```
19 | Total Token Cost = (Input Tokens + Output Tokens) x Cost per Token
20 | ```
21 | ---
22 |
23 | ### Deployment Costs
24 |
25 | Deploying the GPT-4 API, for instance, involves costs based on the number of requests and the tokens per request.
26 |
27 | **Formula:**
28 |
29 | ```
30 | Deployment Cost = Requests per Day x Days per Month x (Average Input Tokens per Request + Average Output Tokens per Request) x Cost per Token
31 | ```
32 |
33 | ---
34 |
35 | ### Fine-tuning Costs (GPT-3.5 Only)
36 |
37 | Fine-tuning GPT-3.5 with your specific data involves a one-time training cost and ongoing usage costs for input/output tokens.
38 |
39 | **Formula:**
40 | ```
41 | Training Cost = Dataset Size x Training Epochs x Cost per Token for Training
42 | ```
43 | ```
44 | Monthly Usage Cost = (Daily Input Tokens + Daily Output Tokens) x Days of Operation per Month x Cost per Token for Usage
45 | ```
46 |
47 | ---
48 |
49 | ### Ongoing Interaction Costs
50 |
51 | For applications requiring continuous interaction with the GPT API (intelligent agents, etc.), the frequency of interaction and average tokens per interaction should be estimated.
52 |
53 | **Formula:**
54 |
55 | ```
56 | Ongoing Interaction Cost = Number of Applications x Frequency of Interaction x Average Tokens per Interaction x Cost per Token
57 | ```
58 |
59 | ---
60 |
61 | ### Additional Considerations
62 |
63 | - Be aware of the assumptions you make, such as average token count, as actual usage may vary.
64 | - Consider the context size (8K or 32K) when deploying GPT-4 as it impacts the cost per token.
65 | - Account for any potential increase in usage over time.
66 |
67 |
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4 | GPT-4 API Cost Estimation
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