GPT-4.5

GPT-4.5

Description of the GPT-4.5 neural network

GPT-4.5 is a multimodal language model developed by OpenAI and announced in February 2025. The model supports a context of up to 128 thousand tokens, allowing large volumes of text to be processed in a single request. Compared with the previous version, GPT-4, the new model demonstrates improved reasoning, programming, and creative capabilities.

One of the key features of GPT-4.5 is a reduced hallucination rate — the model less often produces fabricated facts. Higher factual accuracy makes it a more reliable tool for working with information. The model achieves high results on general knowledge, mathematics, and programming benchmarks, confirming its progress relative to predecessors.

Characteristics of GPT-4.5

Characteristic	Value
Type	Multimodal model
Developer	OpenAI
Context	128.0K tokens
Release date	February 27, 2025
Average score	63.1%
License	Proprietary
Price per 1M tokens (input)	$75.00
Price per 1M tokens (output)	$150.00
Max input tokens	128.0K
Max output tokens	4.1K

Who is the GPT-4.5 neural network suitable for?

Developers and programmers

Thanks to improved programming capabilities, Code Execution support, and Function Calling, the model is suitable for automating code writing, debugging, and solving complex algorithmic problems. Developers can integrate GPT-4.5 into their applications via the API.

Content and creative specialists

The model's improved creative abilities help in writing texts, creating scripts, generating ideas, and other content-related tasks. The reduced hallucination rate makes it more reliable for working with factual material.

Researchers and analysts

The extended 128-thousand-token context allows large documents, scientific papers, and reports to be processed in full. High factual accuracy and improved instruction following make the model useful for data analysis and preparing reviews.

How to use GPT-4.5

Through third-party services

GPT-4.5 is available through third-party platforms. Such services provide an alternative way to access the model, making it easier for users in different countries to use it.

Through the OpenAI API

Developers can connect GPT-4.5 through the official OpenAI API. The model supports batch request processing (Batch Inference), fine-tuning, as well as web search and structured output (Structured Output). This allows it to be flexibly adapted to specific tasks.

Main features of GPT-4.5

Improved reasoning and programming

The model demonstrates a deeper understanding of logical connections and cause-and-effect relationships. Improved programming capabilities allow generating, analyzing, and optimizing code with fewer errors.

Multimodality and extended context

GPT-4.5 supports working with different data types (text, images) within a single session. The 128-thousand-token context allows more information to be retained in the model's memory during long dialogues or when processing large documents.

Developer tools

The model includes support for Function Calling, Structured Output, and Code Execution. This makes it possible to create complex automated scenarios, receive data in a strictly specified format, and execute code directly within the model.

Batch processing and fine-tuning

The Batch Inference function allows requests to be sent in batches, reducing costs for large volumes of work. Fine-tuning enables the model to be trained on custom data to solve specialized tasks.

Advantages of GPT-4.5

The most advanced OpenAI model at release time

At the announcement date, GPT-4.5 was the company's most advanced model. It combines all the key improvements accumulated during the development of the GPT line.

Reduced hallucination rate

The model generates unreliable information significantly less often than previous versions. This is critically important for tasks requiring high factual accuracy.

Improved factual accuracy

Improved fact-checking mechanisms enable GPT-4.5 to produce more reliable answers, especially in the areas of general knowledge, mathematics, and programming. This is confirmed by benchmark results.

Disadvantages of GPT-4.5

High cost of use

The price for 1 million input tokens is $75.00, and for 1 million output tokens — $150.00. This is significantly more expensive than many alternative models, limiting its use in projects with large request volumes.

Output token limit

The model's maximum response length is limited to 4.1 thousand tokens. For tasks that require generating very long texts at once, this may be inconvenient.

Proprietary license

The model is distributed under a proprietary license, meaning there is no access to the source code and no possibility of self-deploying it on your own servers.

What tasks does GPT-4.5 solve?

Complex analytical tasks

Thanks to its wide context and improved reasoning, the model can analyze long documents, identify patterns, and build logical chains. This is useful for researchers, lawyers, financiers, and other professionals working with large volumes of information.

Code development and debugging

GPT-4.5 helps in writing code, refactoring it, finding errors, and optimizing it. Code Execution support allows code to be tested directly inside the model.

Content creation and processing

The model is suitable for generating articles, scripts, marketing texts, and other materials. Multimodality makes it possible to work not only with text but also with images.

Business process automation

Function Calling and Structured Output allow integrating GPT-4.5 into business applications: from support chatbots to systems for automatic processing of requests and reports.

GPT-4.5 pricing

The cost of using the model is calculated based on the number of processed tokens. $