GPT-5.4
OpenAI
At a glance
- Price per 1M tokens (input)
- $2.50
- Price per 1M tokens (output)
- $15.00
- Context
- 1,050,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The GPT-5.4 model by OpenAI is designed for businesses and organizations that require advanced language understanding and generation capabilities. This model is particularly suited for tasks that involve image understanding, tool calling, which refers to the ability to invoke and execute specific functions or APIs, and step-by-step reasoning, enabling it to break down complex problems into manageable parts. The vendor's approach distinguishes itself through its emphasis on multimodal understanding, allowing the model to interpret and generate text based on visual inputs. This makes it a valuable tool for applications that require a deep understanding of both textual and visual data. By leveraging this model, businesses can automate complex tasks and improve their overall efficiency.
Specifications & pricing
| Input (per 1M tokens) | $2.50 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Cache read (per 1M tokens) | $0.25 |
| Context window | 1,050,000 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 would cost on your workload — run it through the cost calculator →
Where to try GPT-5.4 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 automated content generation and visual data analysis
How do I get started with this model+
To get started with this model, you will need to integrate it into your existing infrastructure, which may involve setting up APIs and configuring the model to work with your specific use case
How does this model differ from other models in the line+
This model differs from other models in the line through its advanced image understanding and tool calling capabilities, which set it apart from more basic language models
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