Daybreak Blue
OpenAI
At a glance
- Price per 1M tokens (input)
- $4.00
- Price per 1M tokens (output)
- $20.00
- Context
- 1,050,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 24, 2026. Published August 24, 2026.
The Daybreak Blue model by OpenAI is designed for businesses and organizations that require advanced image understanding and step-by-step reasoning capabilities. This model is well-suited for tasks that involve analyzing and interpreting visual data, as well as executing a series of functions in a specific order, a process known as tool calling, which allows the model to call upon external functions to perform specific tasks. The vendor's approach distinguishes itself through its emphasis on providing a robust and flexible framework for image understanding and tool calling. By leveraging this model, businesses can automate complex tasks and gain valuable insights from visual data. The model's capabilities make it an ideal choice for applications such as image analysis, automated workflow execution, and decision support systems.
Specifications & pricing
| Input (per 1M tokens) | $4.00 |
|---|---|
| Output (per 1M tokens) | $20.00 |
| Cache read (per 1M tokens) | $0.40 |
| Cache write (per 1M tokens) | $5.00 |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 24, 2026. Official OpenAI pricing.
What Daybreak Blue would cost on your workload — run it through the cost calculator →
Where to try Daybreak Blue 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 the Daybreak Blue model good for+
The Daybreak Blue model is good for tasks that involve image understanding and step-by-step reasoning, such as analyzing and interpreting visual data, and executing a series of functions in a specific order
How do I get started with the Daybreak Blue model+
To get started with the Daybreak Blue model, you will need to integrate it into your existing workflow or application, and provide it with the necessary input data, such as images or function calls
How does the Daybreak Blue model differ from other models in the line+
The Daybreak Blue model differs from other models in the line through its unique combination of image understanding and tool calling capabilities, which make it well-suited for tasks that require both visual analysis and sequential execution
What are the limitations of the Daybreak Blue model+
The limitations of the Daybreak Blue model include its reliance on high-quality input data, and its potential difficulty in handling complex or ambiguous visual scenes, which may require additional processing or human oversight
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