GPT-4.0314
OpenAI
At a glance
- Price per 1M tokens (input)
- $30.00
- Price per 1M tokens (output)
- $60.00
- Context
- 8,192 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 16, 2026. Published August 12, 2026.
The GPT-4.0314 model by OpenAI is designed for businesses and organizations that require advanced text generation capabilities. This model is well-suited for tasks such as content creation, language translation, and text summarization. What sets this model apart is its ability to understand and generate human-like text, making it a valuable tool for applications where natural language understanding is crucial. The vendor's approach focuses on creating models that can learn from large datasets and generate coherent and contextually relevant text. This enables businesses to automate tasks that typically require human intervention, such as writing and editing content.
Specifications & pricing
| Input (per 1M tokens) | $30.00 |
|---|---|
| Output (per 1M tokens) | $60.00 |
| Context window | 8,192 tokens |
| Max output | 4,096 tokens |
| Capabilities | text |
LiteLLM community dataset (MIT), verified August 16, 2026. Official OpenAI pricing.
What GPT-4.0314 would cost on your workload — run it through the cost calculator →
Where to try GPT-4.0314 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 advanced text generation, such as content creation, language translation, and text summarization, due to its ability to understand and generate human-like text
How do I get started with this model+
To get started with this model, you will need to integrate it into your application or workflow, which may involve tool calling, or using an application programming interface, to send requests to the model and receive generated text in response
How does this model differ from other models in the line+
This model differs from other models in the line in terms of its specific architecture and training data, which enables it to generate more coherent and contextually relevant text, making it a good choice for businesses that require high-quality text generation
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