Chatgpt 4o
OpenAI
At a glance
- Price per 1M tokens (input)
- $5.00
- Price per 1M tokens (output)
- $15.00
- Context
- 128,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Chatgpt 4o 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 understanding and generating human-like text, as well as image understanding and tool calling, which refers to the ability to call external functions or tools to perform specific tasks. The vendor's approach distinguishes itself through its focus on developing models that can effectively understand and interact with visual data, making it a valuable asset for companies that need to analyze and generate text based on images. Additionally, the model's ability to call external tools allows it to leverage a wide range of capabilities, from data analysis to content creation. This makes it a versatile tool for a variety of applications, including content generation, data analysis, and customer service.
Specifications & pricing
| Input (per 1M tokens) | $5.00 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Context window | 128,000 tokens |
| Max output | 4,096 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official OpenAI pricing.
What Chatgpt 4o would cost on your workload — run it through the cost calculator →
Where to try Chatgpt 4o 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 involve understanding and generating human-like text, as well as image understanding and tool calling, making it a valuable asset for companies that need to analyze and generate text based on images
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 or other interfaces to allow your systems to communicate with the model
How does this model differ from other models in the line+
This model differs from other models in the line through its focus on image understanding and tool calling, which makes it particularly well-suited for tasks that involve visual data or require the ability to call external functions
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