Understanding GPT-4o Pricing
OpenAI has designed the pricing of GPT-4o to be both accessible and flexible, catering to a wide range of users from individual developers to large enterprises. Here’s a detailed look at the cost structure:
GPT-4o: The Ultimate Multimodal Model
GPT-4o is OpenAI’s most advanced multimodal model, offering superior speed and cost efficiency compared to GPT-4 Turbo, with enhanced vision capabilities. The model supports a context window of 128K and includes knowledge up to October 2023.
Pricing Overview
Standard Pricing
- Input Tokens: $5.00 per 1M tokens
- Output Tokens: $15.00 per 1M tokens
Batch API Pricing
- Input Tokens: $2.50 per 1M tokens
- Output Tokens: $7.50 per 1M tokens
Vision Pricing
- Example Calculation: For a 150x150 pixel image, the cost is approximately $0.001275
Model Variants and Costs
gpt-4o-2024-05-13
Standard Pricing
- Input Tokens: $5.00 per 1M tokens
- Output Tokens: $15.00 per 1M tokens
Batch API Pricing:
- Input Tokens: $2.50 per 1M tokens
- Output Tokens: $7.50 per 1M tokens
Image credit: openai.com
Standard Pricing
- GPT-4o Model: The base rate for using GPT-4o is set at $5.00 per 1 million tokens for input and $15.00 per 1 million tokens for output. This pricing model ensures that users only pay for what they use, making it a cost-effective solution for various applications.
- GPT-4o-2024-05-13: This specific version of GPT-4o also follows the same pricing structure, with $5.00 per 1 million tokens for input and $15.00 per 1 million tokens for output. This consistency in pricing helps users budget effectively and take full advantage of the model’s capabilities.
Vision Pricing Calculator:
- For applications requiring enhanced vision capabilities, GPT-4o offers a specialized pricing calculator. The cost is determined based on the dimensions of the visual inputs, calculated at $0.001275 per 150 pixels in width by 150 pixels in height. This feature is particularly valuable for projects involving image recognition, analysis, and other vision-related tasks.
The Value Proposition of GPT-4o
GPT-4o’s pricing reflects its advanced capabilities and the substantial value it provides across various domains. Here are some key benefits that make GPT-4o a compelling choice:
- Multimodal Capabilities: GPT-4o excels in handling both text and vision inputs, making it a versatile tool for a wide range of applications. Whether it's generating coherent text, analyzing images, or integrating both modalities, GPT-4o delivers exceptional performance.
- Enhanced Vision: With stronger vision capabilities, GPT-4o can accurately interpret and analyze visual data. This makes it ideal for tasks such as image classification, object detection, and visual content generation, providing significant value to industries like healthcare, security, and entertainment.
- Cost-Effectiveness: The pricing structure of GPT-4o is designed to be more affordable than its predecessors, including GPT-4 Turbo. This cost-efficiency allows more users to access cutting-edge AI technology without a prohibitive price tag, democratizing advanced AI capabilities.
- High Context Limit: With a 128K context, GPT-4o can process and generate extensive sequences of text, making it suitable for complex tasks that require understanding and producing long-form content. This feature is beneficial for applications in research, education, and content creation.
- Speed and Efficiency: GPT-4o is faster than previous models, ensuring quicker response times and improved productivity. This speed advantage is crucial for real-time applications such as customer support, interactive tools, and live content generation.
GPT-4o Mini: Cost-Efficient and Powerful
GPT-4o Mini is OpenAI's most cost-efficient small model, offering superior intelligence and affordability compared to GPT-3.5 Turbo, along with vision capabilities. The model supports a context window of 128K and includes knowledge up to October 2023.
Pricing Overview
Standard Pricing:
- Input Tokens: $0.150 per 1M tokens
- Output Tokens: $0.600 per 1M tokens
Batch API Pricing
- Input Tokens: $0.075 per 1M tokens
- Output Tokens: $0.300 per 1M tokens
Model Variants and Costs
gpt-4o-mini-2024-07-18
Standard Pricing
- Input Tokens: $0.150 per 1M tokens
- Output Tokens: $0.600 per 1M tokens
Batch API Pricing
- Input Tokens: $0.075 per 1M tokens
- Output Tokens: $0.300 per 1M tokens
Image credit: openai.com
Embedding Models
Enhance your applications with advanced capabilities in search, clustering, topic modeling, and classification using our robust embedding models.
Image credit: openai.com
Fine-Tuning Models
Customize your models by fine-tuning our base models with your specific training data. After fine-tuning, you will only be billed for the tokens used in requests to your custom model
Image credit: openai.com
Assistants API
The Assistants API simplifies the process for developers to integrate AI assistants into their applications. Tokens used with the Assistants API are billed according to the per-token rates of the selected language model for both input and output.
Image credit: openai.com
Image Models
Integrate DALL·E into your applications to generate and edit novel images and art. DALL·E 3 offers the highest quality, while DALL·E 2 is optimized for cost efficiency
Image credit: openai.com
Audio Models
Whisper transcribes speech to text and translates numerous languages into English. Text-to-Speech (TTS) converts written text into spoken audio.
Image credit: openai.com
FAQ's
How Much Does GPT-4 Cost?
OpenAI has introduced a new pricing model for GPT-4, significantly reducing the cost of prompt tokens. The pricing varies based on the model's context length, which determines how much information the model can consider at once.
Models with 128k Context Lengths (e.g., GPT-4 Turbo)
- Prompt Tokens: $10.00 per 1 million tokens (or $0.01 per 1K tokens)
- Sampled Tokens: $30.00 per 1 million tokens (or $0.03 per 1K tokens)
Models with 8k Context Lengths (e.g., GPT-4 and GPT-4-0314)
- Prompt Tokens: $30.00 per 1 million tokens (or $0.03 per 1K tokens)
- Sampled Tokens: $60.00 per 1 million tokens (or $0.06 per 1K tokens)
Models with 32k Context Lengths (e.g., GPT-4-32k and GPT-4-32k-0314)
- Prompt Tokens: $60.00 per 1 million tokens (or $0.06 per 1K tokens)
- Sampled Tokens: $120.00 per 1 million tokens (or $0.12 per 1K tokens)
Do You Have to Pay to Get Access?
Fortunately, OpenAI aims to make GPT-4o accessible to everyone, so you don't need to pay to use it. Once fully rolled out, GPT-4o will be available for various uses without the need for a ChatGPT Plus account. However, free access does come with limitations, similar to other ChatGPT versions.
On the company's pricing page, the free version of ChatGPT is described as "for individuals just getting started with ChatGPT," and it mentions "limited access to GPT-4o" as one of the perks of the free plan. This "limited access" likely means constraints on the number of messages or features available to free users.
For full access to GPT-4o and additional features, users can subscribe to ChatGPT Plus for $20 per month. This subscription includes:
- Early access to new features
- Data analysis and file uploads
- Vision and web browsing capabilities
- DALL·E image generation
- The ability to create and use custom GPTs
What Does "Limited Access" Mean?
"Limited access" means that free users can only send a certain number of messages to GPT-4o before it defaults back to GPT-3.5. OpenAI hasn't specified the exact message limit, but it varies based on usage and demand. According to OpenAI, paid members get up to 5X more messages than free members.
Free users can still enjoy many features of GPT-4o, including:
- Experiencing GPT-4 level intelligence
- Getting responses from the model and the web
- Analyzing data and creating charts
- Chatting about photos
- Uploading files for summarizing, writing, or analyzing
- Discovering and using GPTs and the GPT Store
- Building a more helpful experience with Memory
How to Access GPT-4o?
If you want to try GPT-4o, you can easily access it through a web browser:
- Go to chatgpt.com.
- Sign up for an account using the button at the bottom left of the screen.
- Log in with your new account.
- Click the button labeled "ChatGPT 3.5" at the top left of the chat window.
- Switch to "ChatGPT 4o" if it's available.
What’s a Token?
Tokens are fundamental units used in natural language processing, acting as pieces of words. For English text, one token roughly equates to four characters or 0.75 words. As an illustrative example, the complete works of Shakespeare encompass about 900,000 words or approximately 1.2 million tokens.
To learn more about tokens and estimate your usage:
- Experiment with the Tokenizer Tool: This interactive tool helps you understand how text is tokenized and calculates the total token count for any given text.
- Use the Playground: Log in to your OpenAI account and enter text into the Playground. The token counter in the footer will display how many tokens your text contains.
Which Model Should I Use?
For selecting the appropriate model, it depends on the complexity and nature of your tasks:
- GPT-4o: Recommended for tasks that require more complex and nuanced understanding. It generally performs better across a wider range of tasks due to its advanced capabilities.
- GPT-3.5 Turbo: Ideal for simpler tasks that need to be executed quickly and cost-effectively. It is fast and inexpensive, making it suitable for straightforward applications.
Experiment and Choose: To determine which model provides the best performance for your specific use case, experiment with both models in the Playground. This allows you to explore the capabilities and performance of each model and find the optimal balance between cost and effectiveness for your tasks.
How Will I Know How Many Tokens I’ve Used Each Month?
To track your token usage each month:
- Log In to Your Account: Access your OpenAI account to monitor your usage.
- Usage Tracking Dashboard: Navigate to the usage tracking dashboard. This page provides a comprehensive view of your token usage.
- View Current and Past Usage: The dashboard will display the number of tokens used during the current billing cycle, as well as past cycles.
How Can I Manage My Spending?
Managing your spending on OpenAI services is straightforward with several available tools and settings:
- Set a Monthly Budget: Navigate to your billing settings and set a monthly budget. This budget acts as a cap on your spending. Once the budget is reached, OpenAI will stop serving your requests.
Note: There may be a delay in enforcing this limit, and you will be responsible for any overage incurred.
- Email Notification Threshold: Configure an email notification threshold to receive alerts when your spending crosses a set limit each month. This helps you stay informed about your usage and prevent unexpected charges.
- Regular Usage Monitoring: Regularly check your usage tracking dashboard to monitor your token consumption and spending in real-time. This dashboard provides details on your current and past billing cycles.
- Project-Based Spending Management: For customers managing multiple projects, you can set and manage billing restrictions per project in the Dashboard. This allows for more granular control over spending across different projects.
Is the ChatGPT API Included in the ChatGPT Plus, Teams, or Enterprise Subscription?
No, OpenAI APIs are billed separately from ChatGPT Plus, Teams, and Enterprise subscriptions. The API has its own pricing, which can be found at openai.com/pricing. For detailed information on the subscription pricing for ChatGPT Plus, Teams, and Enterprise, visit openai.com/chatgpt/pricing.
How is Pricing Calculated for Completions?
Pricing for chat completion requests is based on the total number of input tokens sent and the number of tokens in the output(s) returned by the API. Here's a detailed breakdown:
- Token Calculation: The total number of tokens used in a request is the sum of the input tokens and the output tokens. The formula can be expressed as: Total Tokens=num_tokens(input)+[max_tokens×max(n,best_of)]
-
Billing: The cost is calculated at the per-token rate of the engine you are using. For example, if you are using the gpt-3.5-turbo-1106 API:
- Input Tokens: 200 tokens
- Output Tokens: 900 tokens
- Total Tokens: 1100 tokens
The cost would be calculated as follows:
Cost
=
(
200
×
0.001
+
900
×
0.002
1000
)
=
$
0.002
Cost=(
1000
200×0.001+900×0.002
)=$0.002
- Cost Management: You can manage and reduce costs by:
- Reducing the length of the prompt.
- Limiting the maximum response length.
- Using appropriate stop sequences.
- Choosing engines with lower per-token costs.
- Limiting usage of parameters like best_of and n which increase the number of tokens used.
How is Pricing Calculated for Fine-Tuning?
Fine-tuning pricing involves two main components: training and usage.
Training Cost:
Training Cost:
- The total number of tokens used during the training process determines the training cost.
- The calculation for training tokens includes both the number of tokens in your training dataset and the number of training epochs.
- The formula for calculating total training tokens is:
Total Training Tokens
=
Tokens in Training Dataset
×
Number of Training Epochs
Total Training Tokens=Tokens in Training Dataset×Number of Training E
- The default number of epochs is 4.
- Training is billed according to the training rates provided by the service.
Usage Cost
- Once the model is fine-tuned, you are billed only for the tokens used in requests sent to the fine-tuned model.
- These requests are billed at the standard usage rates for fine-tuned models.
