Last updated on March 4th, 2025 at 05:40 am

OpenAI API pricing is based on tokens, with costs varying by model and service.
Popular models like GPT-4o cost $2.50 for input and $10.00 for output per million tokens.
New users get free credits ($5–$18), and higher usage tiers unlock advanced models.

OpenAI’s API uses a pay-as-you-go model where you pay based on the number of tokens processed, which are units of text like words or parts of words.

For example, 1,000 tokens are roughly 750 words in English.

This makes it easy to estimate costs for your projects, whether you’re building a chatbot or analyzing data.

Pricing for Key Models

Different models have different prices for input and output tokens.

For instance, GPT-4o, a fast and affordable model, costs $2.50 for input and $10.00 for output per million tokens.

On the other hand, GPT-4, great for complex tasks, is pricier at $30.00 for input and $60.00 for output per million tokens.

There’s also o3-mini, a new model released in February 2025, costing just $1.00 for input and $4.00 for output per million tokens, offering advanced reasoning at a low cost.

Additional Services and Discounts

Beyond text models, OpenAI offers services like image generation with DALL·E 3, costing $0.04–$0.08 per image, and speech services like Text-to-Speech at $15.00 per million characters.

You can save money with the Batch API, which gives a 50% discount if you can wait up to 24 hours for results.

New users also get free credits, and higher usage tiers, like Tier 3 at $500/month, unlock access to advanced models like o3-mini.

A Surprising Cost Comparison

It’s interesting to note that o3-mini is 93% cheaper than its predecessor, the o1 model, and costs only $1.00 per million input tokens compared to GPT-4’s $30.00, making it a budget-friendly option for coding and reasoning tasks.

Detailed Analysis of OpenAI API Pricing as of February 20, 2025

This analysis provides a comprehensive breakdown of OpenAI’s API pricing structure, focusing on token-based costs, model-specific pricing, additional services, and cost-saving options.

The information is based on the latest available data and aims to assist users in understanding and optimizing their API usage.

Token-Based Pricing Explained

OpenAI’s pricing model, like most generative AI APIs, is centered on tokens, which are units of text processed by the AI models.

A token can be a word, a part of a word, punctuation, or a symbol, with 1,000 tokens roughly equating to 750 words in English.

This token-based approach allows for flexible billing based on usage, calculated per million tokens for both input (the prompt or query sent to the model) and output (the response generated by the model).

To calculate costs for smaller usage, the formula is:

$\text{Cost} = \left( \frac{\text{Number of tokens}}{1,000,000} \right) \times \text{Price per million tokens}$

For example, if you input 1,000 tokens with a model priced at $2.50 per million tokens for input, the cost would be:

$\left( \frac{1,000}{1,000,000} \right) \times 2.50 = 0.0025 \text{ dollars}$

Models with larger context windows, which allow processing more text at once, may have higher pricing due to increased computational demands.

For instance, GPT-4o has a 128K context window, while GPT-4 offers 8K or 32K options, impacting their respective costs.

Pricing for Key AI Models

OpenAI offers a range of models, each with distinct capabilities and pricing. Below is a detailed breakdown:

Model	Input Cost ($/M tokens)	Output Cost ($/M tokens)	Notes
GPT-4o	2.50	10.00	Multimodal, fast, affordable, 128K context window, strong in vision tasks
GPT-4 Turbo	10.00	30.00	Improved over GPT-4, 128K context, broad capabilities, efficient
GPT-4	30.00	60.00	Excels at complex tasks, 8K context; 32K version at $60/$120 per M tokens
GPT-4 (32K)	60.00	120.00	Larger context for extended inputs, higher cost
GPT-3.5 Turbo	0.50	1.50	Cost-effective for dialogue, 16K context in flagship version
o3-mini	1.00	4.00	Released Feb 2025, 93% cheaper than o1, excels in coding/reasoning

GPT-4o: As the latest flagship model, GPT-4o is designed for speed and affordability, handling text, images, and more with a 128K context window.

It’s ideal for applications needing multimodal capabilities at a low cost of $2.50 for input and $10.00 for output per million tokens.
GPT-4 Turbo: Offering improved performance over standard GPT-4 at a reduced price point, it costs $10.00 for input and $30.00 for output per million tokens, with a 128K context window suitable for broad, efficient tasks.
GPT-4: Known for handling complex tasks, it has an 8K context window with pricing at $30.00 for input and $60.00 for output per million tokens. The 32K version, at $60.00/$120.00, is for users needing extended context at a higher cost.
GPT-3.5 Turbo: Optimized for dialogue, it’s the most budget-friendly at $0.50 for input and $1.50 for output per million tokens, with a 16K context window in its flagship version, perfect for chatbots and simple text generation.
o3-mini: Released in February 2025, this model is notably cost-effective at $1.00 for input and $4.00 for output per million tokens, being 93% cheaper than the o1 model.

It outperforms in coding and reasoning tasks, with lower latency and features like function calling and streaming, making it a surprising value for advanced applications.

Additional Services and Their Pricing

Beyond the core language models, OpenAI provides several additional services, each with unique pricing structures:

Service	Pricing Details	Notes
Assistants API	Depends on underlying model + $0.03/session for features	Includes file storage, Code Interpreter costs
Embedding Models	text-embedding-3-small: $0.02/M tokens; large: $0.13/M	For text similarity, search, affordable
Image Generation (DALL·E 3)	$0.04–$0.08 per image, resolution-based	DALL·E 2 cheaper but lower quality
Text-to-Speech (TTS)	$15.00 per million characters	Character-based pricing
Whisper (Speech-to-Text)	$0.006 per minute of audio	Time-based pricing for audio processing

Assistants API: This API enables interactive, stateful conversations, with costs depending on the chosen model (e.g., GPT-4o, GPT-3.5 Turbo) plus additional fees like $0.03 per Code Interpreter session, active for 1 hour, for features like file storage.
Embedding Models: Used for tasks like semantic search, text-embedding-3-small is priced at $0.02 per million tokens, while text-embedding-3-large costs $0.13 per million tokens, making them highly affordable for vector-based applications.
Image Generation (DALL·E 3): Priced at $0.04–$0.08 per image based on resolution, not tokens, offering flexibility for creative projects. DALL·E 2, while cheaper, provides lower quality images.
Text-to-Speech (TTS) and Whisper: TTS costs $15.00 per million characters, suitable for voice applications, while Whisper, for speech-to-text, is priced at $0.006 per minute of audio, catering to audio processing needs.

Cost-Saving Options: Batch API and Usage Tiers

OpenAI provides options to reduce costs based on usage patterns:

Batch API: Offers a 50% discount on standard pricing for completions that can wait up to 24 hours, ideal for non-real-time tasks where cost savings are prioritized over immediate results.
Usage Tiers: New users receive free credits ranging from $5 to $18, allowing initial exploration without cost.

Higher tiers, such as Tier 3 at $500/month, unlock access to advanced models like o3-mini, providing scalability for heavy users.

Practical Cost Estimation Example

To illustrate how costs work in practice, consider using GPT-4o for a prompt of 500 words (~667 tokens) and receiving a 250-word response (~333 tokens):

Input Cost: $\left( \frac{667}{1,000,000} \right) \times 2.50 \approx 0.0016675 \text{ dollars}$
Output Cost: $\left( \frac{333}{1,000,000} \right) \times 10.00 \approx 0.00333 \text{ dollars}$
Total Cost: Approximately $0.005 (half a cent per call)

For high-volume use, costs scale linearly.

For example, processing a million-token input with GPT-4 costs $30.00, while using o3-mini for the same input costs only $1.00, highlighting significant cost differences based on model choice.

Conclusion and Recommendations

OpenAI’s API pricing structure is designed to accommodate various user needs, from budget-conscious developers to those requiring advanced capabilities.

By understanding token-based pricing, comparing model costs, and leveraging discounts like the Batch API, you can optimize your spending.

Regularly check the official OpenAI pricing page (OpenAI Pricing) for updates, and consider usage tiers to access advanced models like o3-mini for cost-effective, high-performance tasks.