GPT-4o mini vs Claude 3.5 Sonnet

As AI technology evolves, choosing the right model for your project becomes crucial. With a range of powerful AI models available, each with unique strengths, making an informed decision ensures optimal performance, cost, and functionality. In this post, we'll compare two top AI models: GPT-4o Mini by OpenAI and Claude 3.5 Sonnet by Anthropic.

We'll compare the core specs and performance of both models, examining how they handle tasks from NLP to complex problem-solving, and explore real-world use cases across industries.

By the end of this post, you'll have a clear understanding of the strengths and limitations of GPT-4o Mini and Claude 3.5 Sonnet, helping you choose the best model for your needs.

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Specifications and Technical Details

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Sources:

• OpenAI news release: GPT-4o mini: advancing cost-efficient intelligence | OpenAI
• Anthropic news release: https://www.anthropic.com/claude/sonnet
• Anthropic Documentation: Intro to Claude - Anthropic

Performance Benchmarks

Both models excel in distinct areas, with performance evaluated across key tasks:

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Sources:

• Anthropic news release: https://www.anthropic.com/claude/sonnet
• OpenAI news release: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/

Claude 3.5 Sonnet excels in coding, math, and multilingual tasks, while GPT-4o Mini shows strong general knowledge. Claude is more fit for complex reasoning and GPT-4o Mini for versatility.

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Practical Applications and Use Cases

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GPT-4o Mini:

• Real-Time Applications: Faster response times make it ideal for live chat and customer support.
• Data extraction: Proficient at extracting structured data from receipt files.
• Lightweight NLP Tasks: Suitable for applications with budget or computational constraints.

Claude 3.5 Sonnet:

• Knowledge Synthesis: Processes and synthesizes large volumes of text for research or enterprise reports.
• Academic research: Offers support for academic research, assisting with data analysis, literature review, and generating insights from complex topics.
• Coding assistance: Provides reliable support for coding, offering solutions for debugging, code completion, and tackling programming challenges.

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Using the Models with APIs

Developers can access GPT-4o-mini via OpenAI's API, and Claude 3.5 Sonnet via Anthropic’s API. Here are examples demonstrating how to interact with these models using Python and cURL.

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Accessing APIs Directly

Python request example with Open AI API:

from openai import OpenAI
client = OpenAI()

completion = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[
    {"role": "developer", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)

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Python request example with Anthropic API:

import anthropic

anthropic.Anthropic().messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello, world"}
    ]
)

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Simplifying Access with Eden AI

Eden AI provides a streamlined platform to interact with both GPT-4o mini and Claude Sonnet 3.5 via a single API, eliminating the need to manage multiple keys and integrations. Through Eden AI, engineering and product teams gain access to a wide range of AI models, making it easy to select the right tool for their needs. The platform includes a user-friendly interface and Python SDK, enabling teams to efficiently orchestrate various models and connect custom data sources. Eden AI also offers advanced performance tracking and monitoring tools, ensuring developers can uphold high standards of quality and efficiency in their projects.

Eden AI's pricing model is designed with developers in mind. Teams pay only for the API calls they make, at the same rate as their chosen AI providers, with no hidden fees or subscriptions. The platform’s margin is supplier-side, ensuring fair and transparent pricing. Additionally, there are no limits on the number of API calls, whether it’s 10 or 10 million, providing great flexibility.

It is designed to prioritize usability, reliability, and flexibility, in order to empower engineering teams to focus on creating impactful AI solutions. It eliminates operational complexities, making it easier for teams to integrate AI models and focus on delivering results.

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Eden AI Example Workflow:

Python request example for multimodal chat with Claude 3.5 Sonnet and Eden AI API:

import requests

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

payload = {
    "fallback_providers": ["openai/gpt-4o"],
    "response_as_dict": True,
    "attributes_as_list": False,
    "show_base_64": True,
    "show_original_response": False,
    "temperature": 0,
    "max_tokens": 1000,
    "providers": ["anthropic/claude-3-5-sonnet-latest"]
}
headers = {
    "accept": "application/json",
    "content-type": "application/json"
}

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

print(response.text)

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Cost Analysis

For text:

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For audio (realtime):

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For fine tuning:

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sources:

• Amazon bedrock pricing: https://aws.amazon.com/bedrock/pricing/
• Official OpenAI pricing: https://platform.openai.com/docs/pricing

GPT-4o Mini is a budget-friendly option, while Claude 3.5 Sonnet justifies its higher cost with its ability to handle extensive contexts and generate nuanced outputs.

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Conclusion and Recommendations

Selecting the right AI model is key to optimizing both cost and performance. GPT-4o Mini is a cost-effective, compact version of GPT-4, designed for cost-sensitive and latency-critical applications. It’s ideal for scenarios requiring speed and affordability, such as chatbots and coding assistance. In real-time environments, GPT-4o Mini ensures quick, responsive interactions, offering rapid problem-solving without sacrificing performance.

In contrast, Claude 3.5 Sonnet excels when the task requires handling large volumes of text or long-form, nuanced conversations. Whether it's for content generation, like articles or reports, or managing complex multi-turn conversations, Claude 3.5 maintains high coherence and accuracy. It is especially useful for applications needing deeper understanding, like virtual assistants and customer support, and also shines in text analysis and summarization.

With Eden AI's platform, managing and deploying these models becomes simple. Teams can easily integrate GPT-4o Mini and Claude 3.5 Sonnet into their applications, tailoring solutions to their needs. The platform offers seamless integration through simplified APIs, enabling quick deployment and scalability, while allowing teams to fine-tune performance and cost as projects grow.

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Additional Resources

• GPT-4o Mini Documentation
• Claude 3.5 Sonnet Documentation
• Eden AI Documentation