GPT-5.2 Chat
OpenAI
At a glance
- Price per 1M tokens (input)
- $1.75
- Price per 1M tokens (output)
- $14.00
- Context
- 128,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The GPT-5.2 Chat model is suitable for businesses and organizations that require a sophisticated language model for tasks such as image understanding, tool calling, which involves invoking external functions to perform specific tasks, and step-by-step reasoning. This model is particularly useful for applications that need to analyze and respond to visual data, as well as those that require a logical and methodical approach to problem-solving. The vendor's approach to developing this model focuses on creating a robust and flexible architecture that can be easily integrated into a wide range of systems and applications. By leveraging this model, businesses can automate complex tasks, improve customer engagement, and gain valuable insights from visual data. The model's ability to understand images and call external tools makes it a versatile solution for various industries and use cases.
Specifications & pricing
| Input (per 1M tokens) | $1.75 |
|---|---|
| Output (per 1M tokens) | $14.00 |
| Cache read (per 1M tokens) | $0.17 |
| Context window | 128,000 tokens |
| Max output | 16,384 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official OpenAI pricing.
What GPT-5.2 Chat would cost on your workload — run it through the cost calculator →
Where to try GPT-5.2 Chat 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, logical reasoning, and the ability to call external tools to perform specific functions, making it a good fit for applications such as visual analysis, automated customer support, and data-driven decision making
How do I get started with this model+
To get started with the GPT-5.2 Chat model, you will need to integrate it into your system or application, which can be done through a straightforward API-based process, and then configure it to meet your specific use case and requirements
How does this model differ from other models in the line+
The GPT-5.2 Chat model differs from other models in the line in its ability to understand images and call external tools, making it a more versatile and powerful solution for businesses with complex needs and requirements
What are the limitations of this model+
The limitations of the GPT-5.2 Chat model include its reliance on high-quality training data and its potential for bias if not properly calibrated, which can impact its performance and accuracy in certain situations and applications
Compare with others
Org chart: how to move your company onto AI
A practical map: which company roles and processes AI agents can take over, where to start, and in what order to roll it out.