GPT-5.6
OpenAI
At a glance
- Price per 1M tokens (input)
- $5.00
- Price per 1M tokens (output)
- $30.00
- Context
- 1,050,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The GPT-5.6 model by OpenAI is designed for businesses and organizations that require advanced natural language processing capabilities. This model is well-suited for tasks that involve image understanding, tool calling, which refers to the ability to call external functions or APIs to perform specific tasks, and step-by-step reasoning, which enables the model to break down complex problems into manageable parts. The vendor's approach distinguishes itself through its ability to integrate these capabilities seamlessly, allowing users to leverage the model's strengths in a flexible and efficient manner. By utilizing this model, businesses can automate complex tasks, improve decision-making, and enhance overall productivity. The model's capabilities make it an ideal choice for applications that require a deep understanding of visual and textual data.
Specifications & pricing
| Input (per 1M tokens) | $5.00 |
|---|---|
| Output (per 1M tokens) | $30.00 |
| Cache read (per 1M tokens) | $0.50 |
| Cache write (per 1M tokens) | $6.25 |
| 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-5.6 would cost on your workload — run it through the cost calculator →
Where to try GPT-5.6 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 decision-making, data analysis, and process automation
How do I get started with this model+
To get started with this model, users should familiarize themselves with the model's capabilities and limitations, and then design and implement their application or workflow, leveraging the model's strengths in image understanding, tool calling, and step-by-step reasoning
How does this model differ from other models in the line+
This model differs from other models in the line through its unique combination of image understanding, tool calling, and step-by-step reasoning capabilities, which set it apart from models that specialize in only one or two of these areas
What are the limitations of this model+
The limitations of this model include its potential difficulty in handling highly ambiguous or unclear input, and its reliance on the quality and accuracy of the data it is trained on, which can impact its performance in certain applications
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