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GPT-5.3 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 16, 2026. Published August 12, 2026.

The GPT-5.3 Chat model by OpenAI is designed for businesses and organizations seeking to leverage advanced language capabilities to automate tasks, generate content, and provide customer support. This model is particularly suited for tasks that require image understanding, tool calling - which refers to the ability to call external functions or APIs to perform specific tasks, and step-by-step reasoning to solve complex problems. The vendor's approach distinguishes itself through its emphasis on multimodal understanding, allowing the model to interpret and generate text based on visual inputs. This capability, combined with its advanced reasoning abilities, makes it a versatile tool for a wide range of applications. By integrating this model into their operations, businesses can enhance their automation capabilities, improve customer engagement, and streamline their content creation processes.

Specifications & pricing

Input (per 1M tokens)$1.75
Output (per 1M tokens)$14.00
Cache read (per 1M tokens)$0.17
Context window128,000 tokens
Max output16,384 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified August 16, 2026. Official OpenAI pricing.

What GPT-5.3 Chat would cost on your workload — run it through the cost calculator →

Where to try GPT-5.3 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 good for tasks that require understanding and generating text based on images, automating tasks through tool calling, and solving complex problems through step-by-step reasoning

How do I get started with this model+

To get started, you will need to integrate the model into your existing infrastructure, which may involve setting up APIs or other interfaces to facilitate communication between your systems and the model

How does this model differ from other models in the line+

This model differs from its siblings through its advanced image understanding capabilities and its ability to perform step-by-step reasoning, making it more suitable for tasks that require a deeper level of comprehension and problem-solving ability

What are the limitations of this model+

While this model offers advanced capabilities, its performance can be impacted by the quality of the input it receives, and it may not always be able to understand the nuances of human language or the context of certain images or situations

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