GPT-3.5 Turbo 0125
OpenAI
At a glance
- Price per 1M tokens (input)
- $0.50
- Price per 1M tokens (output)
- $1.50
- Context
- 16,385 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 16, 2026. Published August 12, 2026.
The GPT-3.5 Turbo 0125 model by OpenAI is designed for businesses and organizations seeking to leverage advanced language capabilities. This model suits tasks that require generating human-like text, such as content creation, language translation, and text summarization. What sets this model apart is its ability to perform tool calling, which refers to the capacity to invoke external functions or tools to enhance its response generation capabilities. This allows the model to access a broader range of information and perform more complex tasks. The vendor's approach focuses on providing a flexible and adaptable model that can be fine-tuned to meet specific business needs.
Specifications & pricing
| Input (per 1M tokens) | $0.50 |
|---|---|
| Output (per 1M tokens) | $1.50 |
| Context window | 16,385 tokens |
| Max output | 4,096 tokens |
| Capabilities | tool calling |
LiteLLM community dataset (MIT), verified August 16, 2026. Official OpenAI pricing.
What GPT-3.5 Turbo 0125 would cost on your workload — run it through the cost calculator →
Where to try GPT-3.5 Turbo 0125 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 generating high-quality, human-like text, such as content creation, language translation, and text summarization
How do I get started with this model+
To get started, you will need to integrate the model into your application or workflow, which may involve working with the vendor's API or software development kit
How does this model differ from other models in the line+
This model differs from its sibling models in its ability to perform tool calling, which enables it to access external functions and tools to enhance its response generation capabilities
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