3 Tips to reduce OpenAI GPT-3's costs by Smart Prompting (2024)

3 Tips to reduce OpenAI GPT-3's costs by Smart Prompting (3)

GPT-3's highest and the most accurate model Davinci costs 6 cents for every 1000 tokens. So it isn’t really inexpensive to operate at scale in a production app.

So beyond designing prompts, it is essential to even master the craft of smart prompting, that is to reduce the number of tokens in the input prompt.

In this tutorial, we will see a few techniques to reduce the number of tokens in a given prompt from my experience of building supermeme.ai, a GPT-3 based app that is currently in production. And remember every 1000 tokens reduced is 6-cents (0.06$) saved, so at scale this is huge.

So let’s start with one of the examples that was provided in the OpenAI’s playground itself, called “Ad from product description”.

In the below image, the input is the text in black and the output is the text highlighted in green that is generated by GPT-3.

For running this in a production app, the first line “Write a creative ad for the following product to rn on Facebook aimed at parents:”, always remains the same and only the product description is taken dynamically from the user input.

3 Tips to reduce OpenAI GPT-3's costs by Smart Prompting (2024)

FAQs

How to reduce cost of OpenAI? ›

Recap: Lowering OpenAI API Costs
  1. Use the API Wisely: Pay attention to the frequency and timing of your API usage.
  2. Effective Caching: Save answers you frequently use to cut down on redundant API calls.
  3. Succinct Prompting: Keep your prompts brief for better effectiveness.
Jan 4, 2024

How to reduce GPT cost? ›

To optimize token usage and reduce costs when using GPT-4 or GPT-3 Turbo for your app, you can consider the following strategies: Streamline Input and Output: Ensure that the input text is concise and directly relevant to what you want the model to do. Trim unnecessary details or redundancies.

How to make OpenAI API cheaper? ›

You can limit costs by reducing prompt length or maximum response length, limiting usage of best_of/n , adding appropriate stop sequences, or using engines with lower per-token costs.

How do I reduce the number of tokens in OpenAI? ›

You could split the document into chunks, each of which are 4-7k tokens, and ask the model to generate a quiz question per chunk. You can also ask the model to summarize each chunk, and concatenate all the summaries, perhaps multiple times, to get to a smaller input size.

How to reduce ChatGPT costs? ›

What are the key strategies to minimize ChatGPT API costs?
  1. Monitor API usage regularly.
  2. Store repeated answers to reduce redundant calls.
  3. Limit the length of ChatGPT responses.
  4. Use concise prompts to decrease token usage.
  5. Implement logic-based API triggers.
  6. Combine multiple requests into single API calls.
Jan 3, 2024

How would one reduce the cost of an AI project? ›

2 Choose the right tools and platforms. One of the biggest expenses in AI projects is the infrastructure and software that you need to build, train, test, and deploy your AI models. You should choose the tools and platforms that suit your needs, budget, and skills.

How much is ChatGPT costing per day? ›

Answer: $700,000.

A new report has the numbers on how much it costs to operate the generative AI chatbot, and it's a lot. SemiAnalysis' Chief Analyst Dylan Patel released the report this week. According to his analysis, running ChatGPT costs approximately $700,000 a day. That breaks down to 36 cents for each question.

Is GPT-3 expensive? ›

Analysts and technologists estimate that the critical process of training a large language model such as OpenAI's GPT-3 could cost more than $4 million. More advanced language models could cost over “the high-single-digit millions” to train, said Rowan Curran, a Forrester analyst who focuses on AI and machine learning.

What is the downside of GPT? ›

Generation of inappropriate content: GPT models can generate inappropriate or offensive content, particularly when prompted with offensive or sensitive topics. This can be problematic in certain contexts and requires careful monitoring and filtering.

What is the $5 dollar charge on OpenAI? ›

A temporary authorization hold will be placed on your card for $5. At the end of each calendar month, you'll be charged for all usage that happened during the month.

How much is ChatGPT per month? ›

ChatGPT's subscription plan is called ChatGPT Plus and costs $20/month. The paid subscription model guarantees users general access even during peak times when the free version is at capacity and offers faster response times.

Does GPT-3.5 have a limit? ›

The 60k limit is for TPM, which stands for Tokens Per Minute. This means that you cannot send more than a total of 60k tokens within one minute to the API. Here is some more documentation on how the limits work. Read through it a couple times, it's a bit confusing but it makes sense once you read it.

How do I remove my phone number from OpenAI? ›

This means if you have 3 OpenAI accounts you can use the same number for all three when completing phone verification on each initial API key generation across those three accounts. For anti-fraud and abuse reasons, we do not allow you to unlink phone numbers from OpenAI accounts to free up that number for reuse.

What are the limits of OpenAI? ›

Quotas and limits reference
Limit NameLimit Value
Max training job time (job will fail if exceeded)720 hours
Max training job size (tokens in training file) x (# of epochs)2 Billion
Max size of all files per upload (Azure OpenAI on your data)16 MB
Max number or inputs in array with /embeddings2048
17 more rows
Mar 19, 2024

Why is AI so expensive to run? ›

Different types of data require different levels of training, so if you have more complex data, it will cost more to train the AI model. For example, training models and operating an AI that requires lots of images costs significantly more than one that only uses and outputs text.

What cost can be reduced with the implementation of AI? ›

Reduce Human Resource Costs

Another way in which AI can be implemented in your organization to cut costs is by reducing the mundane, repetitive tasks. This can help improve worker productivity and reduce waste. What AI is best at are the tasks that humans find boring and repetitive.

Why AI is too expensive? ›

They would have to hire teams of software engineers, purchase and run expensive servers, and spend months (or even years!) of time in developing their AI. Because of this massive financial investment, AI became reserved for only the largest of companies with the largest of scales.

Does using OpenAI cost money? ›

OpenAI provides not just the technology but also the server support, which understandably isn't free. So yes, both training AND using a fine-tuned model cost money. No matter what the use case is.

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