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Open AI's GPT-4.5 Explained

GPT-4.5 is here, bringing a major leap in AI with advanced language and multimodal capabilities. This article explores its potential, strengths, and limitations, and what it means for the future of AI.

Open AI's GPT-4.5 Explained
TABLE OF CONTENTS

New Model: GPT-4.5 – Performance, Use Cases, and API Access

OpenAI has unveiled GPT-4.5, an advanced AI model designed to push the boundaries of natural language processing, problem-solving, and multi-modal reasoning.

With improvements in context length, processing speed, accuracy, and API efficiency, GPT-4.5 is positioned to power the next generation of AI-driven applications.

Specifications and Technical Details

Model GPT-4.5
Alias gpt-4.5-preview-2025-02-27
Description (provider) Our largest and best model for chat yet
Release date 27 February 2025
Developer Open AI
Primary use cases Content creation, customer support, data analysis
Context window 128k tokens
Max output tokens 16,384
Knowledge cutoff 01 October 2023
Multimodal Accepted input: text, image
Fine tuning No

Performance Benchmarks

Sources:

GPT-4.5 excels in multilingual understanding, science, and multimodal tasks but struggles with advanced math and coding, highlighting strengths in knowledge reasoning and weaknesses in problem-solving and software engineering.

Practical Applications and Use Cases of GPT-4.5

Creative Writing & Content Generation: With enhanced emotional intelligence and a refined sense of storytelling, GPT-4.5 produces compelling narratives, blog posts, and articles that captivate audiences.

Legal Drafting & Contract Analysis: Streamlining legal workflows, it condenses lengthy contracts and generates essential documents like NDAs and cease-and-desist letters, boosting efficiency for legal professionals.

Task Management & Strategic Planning: GPT-4.5 optimizes workflows, automates intricate processes, and supports decision-making by interpreting human intent with greater accuracy and nuance.

Using the Models with APIs

The GPT-4.5 API is available through Open AI's API. The following example illustrates how to interact with this model using Python.

Accessing APIs Directly

Python request example:


from openai import OpenAI
client = OpenAI()

completion = client.chat.completions.create(
  model="gpt-4.5-preview-2025-02-27",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

Simplified Access with Eden AI

Eden AI offers a streamlined platform that grants access to GPT-4.5 and many other models through a single API, eliminating the need for multiple keys and simplifying integration. With a broad selection of AI models available, you can easily manage and integrate custom data sources using an intuitive interface and Python SDK.

Additionally, Eden AI provides robust performance tracking and monitoring to help teams maintain peak productivity.

The platform features a transparent and cost-efficient pricing model, charging solely for actual API usage with no hidden fees or subscriptions. Eden AI’s supplier-side margin guarantees clear and predictable pricing, with no restrictions on the number of API calls, no matter the volume.

Designed with developers in mind, Eden AI prioritizes ease of use, reliability, and scalability, enabling teams to build powerful AI solutions without unnecessary complexity.

Eden AI Example Workflow:

Python request example for multimodal chat with GPT-4.5 and Eden AI API:


import requests

url = "https://api.edenai.run/v2/multimodal/chat"

payload = {
    "fallback_providers": ["claude-3-7-sonnet-20250219"],
    "response_as_dict": True,
    "attributes_as_list": False,
    "show_base_64": True,
    "show_original_response": False,
    "temperature": 0,
    "max_tokens": 16384,
    "providers": ["gpt-4.5-preview-2025-02-27"]
}
headers = {
    "accept": "application/json",
    "content-type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

Cost Analysis

For text:

Cost (per 1M tokens) GPT-4.5
Input $75.00
Output $150.00
Cached input $37.50

Sources:

GPT-4.5 is expensive due to high development, training, and infrastructure costs, as well as the need for powerful hardware and ongoing maintenance to support its advanced capabilities and scalability.

Conclusion

GPT-4.5 marks a major leap in AI, offering advanced language processing, multimodal capabilities, and enhanced reasoning. Its applications in creative writing, legal drafting, and task management make it a powerful tool across industries, though it does have limitations in advanced math and coding.

For developers, Eden AI simplifies access to GPT-4.5 through a unified API, eliminating the need for multiple keys and providing easy integration with cost-efficient pricing.

With robust monitoring and scalability, Eden AI ensures a seamless experience for teams building AI-driven solutions.

In summary, GPT-4.5 is a game-changer for AI applications, and Eden AI makes integrating it into your workflow both easy and affordable.

Additional Resources


Eden AI API – Access multiple AI models with one API.

Eden AI Documentation.

Open AI API Documentation.

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