GPT-5 Mini
OpenAI
At a glance
- Price per 1M tokens (input)
- $0.25
- Price per 1M tokens (output)
- $2.00
- Context
- 272,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The GPT-5 Mini model is suitable for businesses and organizations that require a versatile language model for tasks such as 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 variety of applications. By leveraging the model's capabilities, businesses can automate tasks, gain insights from images, and improve their overall efficiency. The model's strengths make it a valuable asset for companies looking to improve their operations and decision-making processes.
Specifications & pricing
| Input (per 1M tokens) | $0.25 |
|---|---|
| Output (per 1M tokens) | $2.00 |
| Cache read (per 1M tokens) | $0.025 |
| 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 Mini would cost on your workload — run it through the cost calculator →
Where to try GPT-5 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 good for tasks that require image understanding, tool calling, and step-by-step reasoning, making it suitable for applications such as automation, analysis, and decision support
How do I get started with this model+
To get started with this model, you will need to integrate it into your application or system, which may involve setting up APIs or other interfaces to enable tool calling and image understanding capabilities
How does this model differ from other models in the line+
This model differs from other models in the line due to its unique combination of image understanding and tool calling capabilities, as well as its step-by-step reasoning abilities, which set it apart from more general-purpose language models
What are the limitations of this model+
The limitations of this model include its potential struggle with very complex or nuanced tasks, as well as its reliance on the quality of the input data and the availability of relevant tools and functions for calling
Comparisons
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