AI Comparatives

GPT-4.5 vs Claude 3.7 Sonnet

Which model is better for your needs: GPT-4.5 or Claude 3.7 Sonnet? Both offer unique strengths and strong performance, with Claude being more cost-effective in some areas, while GPT-4.5 excels in others. The choice depends on the specific requirements of your use case.

GPT-4.5 vs Claude 3.7 Sonnet
TABLE OF CONTENTS

Claude 3.7 Sonnet and GPT-4.5 are cutting-edge AI models, each representing the forefront of their respective technologies and offering unique strengths that shape the future of AI.

Claude 3.7 Sonnet, developed by Anthropic,  is the most advanced in the Claude series, features hybrid reasoning for strong logic and decision-making. It excels in language understanding, coding, and automation, with ethical safeguards ensuring reliability.

Meanwhile GPT-4.5, OpenAI's newest model, shines in fluency, adaptability, and creativity. Optimized for dynamic conversations, it generates persuasive, emotionally intelligent responses. With improved reasoning and multimodal capabilities, it enhances content creation, brainstorming, and interactive AI experiences.

Specifications and Technical Details

Feature Claude 3.7 Sonnet GPT-4.5
Alias claude-3-7-sonnet-20250219 gpt-4.5-preview-2025-02-27
Description (provider) Our most intelligent model to date and the first hybrid reasoning model on the market. Our largest and best model for chat yet
Release date February 2025 27 February 2025
Developer Anthropic Open AI
Primary use cases RAG, search & retrieval, code generation, content creation Content creation, customer support, data analysis
Context window 200k tokens 128k tokens
Max output tokens 8192 tokens 16,384
Knowledge cutoff November 2024 01 October 2023
Multimodal Accepted input: text, image Accepted input: text, image
Fine tuning No No

Sources:

Performance Benchmarks

We assessed GPT-4.5 and Claude 3.7 Sonnet using standardized tests to showcase their strengths and distinctions.

Benchmark GPT-4.5 Claude 3.7 Sonnet
MMLU (multitask accuracy) 85.1% 83.2%
MATH (math problems) - 82.2%
QPQA (general purpose question answering) 71.4% 84.8%

Sources:

Claude 3.7 Sonnet excels in mathematical reasoning and question answering, while GPT-4.5 demonstrates stronger general multitask performance, making each model better suited for different use cases.

Practical Applications and Use Cases

GPT-4.5:

  • Content Generation & Writing: GPT-4.5 excels in creative storytelling, offering improved emotional intelligence and aesthetic intuition for crafting engaging narratives, articles, and blog posts.
  • Contract Review and Drafting: Summarizes lengthy contracts and drafts basic legal documents such as NDAs or cease-and-desist letters, saving significant time for legal teams
  • Project Management & Problem-Solving: GPT-4.5 organizes tasks, automates complex processes, and aids in decision-making with its deep understanding of human intent and improved emotional intelligence.

Claude 3.7 Sonnet:

  • Coding and Development: Excels in generating, debugging, and managing complex codebases, including front-end web development and full-stack updates
  • Content Generation and Summarization: Produces high-quality text, summaries, and creative content with its large context window.
  • Extended Reasoning: Ideal for solving complex problems in math, physics, and structured workflows using its extended thinking mode for step-by-step reasoning

Using the Models with APIs

GPT-4.5's API can be reached via OpenAI's API, while Claude 3.7 Sonnet’s API is accessible through Anthropic's API, Amazon Bedrock, and Google Cloud's Vertex AI, . Below are examples demonstrating how to interact with these models using Python.

Accessing APIs Directly

Python request example with Open AI API:


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)

Python request example with Anthropic API:


import anthropic

client = anthropic.Anthropic(
    # defaults to os.environ.get("ANTHROPIC_API_KEY")
    api_key="my_api_key",
)
message = client.messages.create(
    model="claude-3-7-sonnet-20250219",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello, Claude"}
    ]
)
print(message.content)

Simplifying Access with Eden AI

Eden AI provides a simplified platform that provides access to both GPT-4.5 and Claude 3.7 Sonnet via a single API, removing the need for multiple keys and easing integration.

With a wide range of AI models at your disposal, you can effortlessly manage and integrate custom data sources using a user-friendly interface and Python SDK. Eden AI also offers strong performance tracking and monitoring to help teams maintain optimal productivity.

Its pricing model is transparent and cost-effective, charging only for actual API usage with no hidden fees or subscriptions. Eden AI’s supplier-side margin ensures clear pricing, and there are no limits on API calls, regardless of volume.

Tailored for developers, Eden AI focuses on ease of use, reliability, and scalability, empowering teams to create impactful 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 Claude 3.7 Sonnet
Input $75.00 $3
Output $150.00 $15.00
Cached input $37.50 -

sources:

Claude 3.7 Sonnet is more cost-effective than GPT-4.5, offering lower prices for input and output, making it a more economical option overall. GPT-4.5 is expensive due to its advanced capabilities and high computational demands.

Conclusion and Recommendations

Eden AI offers a streamlined platform that provides access to both GPT-4.5 and Claude 3.7 Sonnet through a single API, simplifying integration by eliminating the need for multiple API keys. With a diverse selection of AI models available, users can easily manage custom data sources through an intuitive interface and Python SDK.

The platform also includes robust performance tracking and monitoring to ensure teams stay productive.

Eden AI’s transparent and cost-effective pricing is based solely on actual API usage, with no hidden fees or subscriptions. The platform ensures clear pricing with no limitations on API calls, regardless of volume.

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

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