GPT-4o Mini
OpenAI
At a glance
- Price per 1M tokens (input)
- $0.15
- Price per 1M tokens (output)
- $0.60
- Context
- 128,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The GPT-4o Mini model by OpenAI is designed for businesses and developers who require a versatile language model for a range of tasks, including image understanding and tool calling, which involves invoking external functions to perform specific tasks. This model suits applications that need to analyze and generate text based on visual inputs, as well as those that require integration with other tools and services. The vendor's approach distinguishes itself through its focus on providing a balance between model capabilities and ease of use, making it accessible to a broad range of users. By leveraging this model, businesses can automate tasks, generate content, and enhance their overall workflow efficiency. The model's capabilities are particularly useful for applications that require a deep understanding of both text and images.
Specifications & pricing
| Input (per 1M tokens) | $0.15 |
|---|---|
| Output (per 1M tokens) | $0.60 |
| Cache read (per 1M tokens) | $0.075 |
| Context window | 128,000 tokens |
| Max output | 16,384 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official OpenAI pricing.
What GPT-4o Mini would cost on your workload — run it through the cost calculator →
Where to try GPT-4o Mini for free
- OpenAI offers a free chat — ChatGPT (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What is this model good for+
This model is well-suited for tasks that involve image understanding and generation, as well as applications that require integration with external tools and services through tool calling, which enables the model to leverage the capabilities of other functions and services.
How do I get started with this model+
To get started, you will need to review the documentation and guidelines provided by the vendor, which include information on how to integrate the model into your application, as well as examples and tutorials to help you understand its capabilities and limitations.
How does this model differ from other models in the line+
This model differs from its siblings in terms of its specific capabilities and focus areas, including its emphasis on image understanding and tool calling, which set it apart from other models that may have different strengths and weaknesses.
What are the limitations of this model+
As with any language model, there are limitations to its capabilities, including potential biases in its training data, and limitations in its ability to understand and generate text in certain contexts or domains, which should be carefully evaluated when considering its use in a particular application.
Comparisons
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