GPT-5.4 Mini
OpenAI
At a glance
- Price per 1M tokens (input)
- $0.75
- Price per 1M tokens (output)
- $4.50
- Context
- 272,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The GPT-5.4 Mini model is suitable for businesses and developers who require a versatile language model for a variety of tasks, including image understanding and tool calling, which refers to the ability to call external functions or APIs to perform specific tasks. This model is distinguished by its ability to perform step-by-step reasoning, allowing it to break down complex tasks into manageable parts. The vendor's approach focuses on providing a robust and reliable model that can be integrated into a wide range of applications. By leveraging this model, businesses can automate tasks, generate content, and improve customer interactions.
Specifications & pricing
| Input (per 1M tokens) | $0.75 |
|---|---|
| Output (per 1M tokens) | $4.50 |
| Cache read (per 1M tokens) | $0.075 |
| Context window | 272,000 tokens |
| Max output | 128,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official OpenAI pricing.
What GPT-5.4 Mini would cost on your workload — run it through the cost calculator →
Where to try GPT-5.4 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 require image understanding, such as image classification and object detection, as well as tasks that require tool calling, such as data processing and API integration
How do I get started with this model+
To get started with this model, you will need to integrate it into your application or workflow, which can be done through APIs or software development kits provided by the vendor
How does this model differ from other models in the line+
This model differs from other models in the line in its ability to perform step-by-step reasoning, which allows it to tackle more complex tasks and provide more accurate results
What are the limitations of this model+
The limitations of this model include its potential inability to understand certain types of images or perform certain types of tool calls, as well as its reliance on the quality of the data it is trained on
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