GPT-5.6 Sol
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 16, 2026. Published August 12, 2026.
The GPT-5.6 Sol model 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 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 to developing this model focuses on creating a robust and flexible architecture that can be applied to a wide range of applications. By leveraging this model, businesses can automate tasks, generate high-quality content, and improve their overall efficiency. The model's capabilities make it an ideal choice for companies looking to harness the power of artificial intelligence to drive innovation and growth.
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 16, 2026. Official OpenAI pricing.
What GPT-5.6 Sol would cost on your workload — run it through the cost calculator →
Where to try GPT-5.6 Sol 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 content generation, automated customer support, and 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 working with the vendor's development team to ensure seamless integration and configure the model to meet your specific needs
How does this model differ from other models in the line+
This model differs from other models in the line in its ability to understand images and call external functions, which sets it apart from more basic language models and makes it a more versatile tool for businesses with complex needs
What are the limitations of this model+
The limitations of this model include its potential difficulty in understanding highly specialized or technical concepts, and its reliance on high-quality training data to produce accurate results, which can be a challenge for businesses with limited data resources
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