Claude Opus Vs ChatGPT 4 - 2024 Performance Comparison

Claude Opus Vs ChatGPT 4 - 2024 Performance Comparison
"This DESTROYED My ChatGPT Workflow!"
- Ezekiel Whitlock, Forbes Editor
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ChatGPT Vs Claude

Since ChatGPT blew up, there has been a newcomer in the AI content creation scene: Claude 3 Opus. Both are powerful tools, but they cater to different needs.

ChatGPT-4 is great for handling both text and images, thanks to its integration with DALL·E, and it can access real-time information via the internet. I often use it for creating educational visuals and getting updated facts quickly. Its context window supports up to 32,000 tokens, which is enough for most tasks but can be a bit limiting for longer texts.

On the other hand, Claude 3 Opus excels in processing large amounts of data, handling up to 200,000 tokens in one go. This is ideal for extensive documents and lengthy interactions. It’s also more privacy-conscious, not saving conversations beyond 90 days and avoiding use in training models. This makes it my go-to for projects involving sensitive information.

What Is Claude Opus?

Claude 3 Opus is an advanced AI model that's really good at handling complex tasks with impressive accuracy. Here's a rundown of what makes it stand out and why it might be useful for you.

High Accuracy and Context

One of the main strengths of Claude 3 Opus is its accuracy. It performs exceptionally well on difficult questions, providing correct answers and admitting when it doesn't know something instead of giving incorrect information. This reliability makes it a great tool for tasks requiring high precision.

Another big plus is its ability to handle large amounts of context. With a context window of up to 1 million tokens, Opus can manage extensive data inputs, which is particularly useful for detailed analyses and research. This means you can feed it a lot of information, and it will still understand and process it effectively.

Multimodal Capabilities

Claude 3 Opus isn't just limited to text. It can process various visual formats like photos, charts, and technical diagrams. This versatility is useful if you need to analyze different types of data or present information in multiple formats. For example, if you're working on a project that involves both written reports and visual data, Opus can handle both seamlessly.

Reduced Refusals and Improved Understanding

One issue with previous models was that they often refused to answer certain questions. Opus has improved in this area, showing a better understanding of user requests and being less likely to refuse harmless queries. This makes it more dependable for everyday use.

Responsible and Safe Design

Opus is designed with safety and reliability in mind. It has teams dedicated to mitigating risks like misinformation and biases. This focus on ethical AI use means you can trust it to provide fair and accurate information.

Practical Uses

Here are some practical ways you might use Claude 3 Opus:

  • Research and Development: It can help review literature, brainstorm ideas, and generate hypotheses.
  • Strategy and Analysis: It's good at analyzing charts, financials, and market trends, making it useful for strategic planning.
  • Task Automation: You can use it to plan and execute complex actions across different platforms and databases.

Cost and Availability

Using Claude 3 Opus comes with a cost. For general use, it costs $15 per million input tokens and $75 per million output tokens. It's available through the Claude API, which developers can integrate into their applications. If you're looking for advanced AI capabilities, this cost might be justified by the high level of service and accuracy you get.

What Is ChatGPT?

ChatGPT-4 is an advanced tool that helps you generate human-like text. If you're already familiar with the basics, like how to open and use it, let’s dive into what makes ChatGPT-4 special and useful for your tasks.

Improved Comprehension

ChatGPT-4 understands the context of your conversation better than earlier versions. This means it can follow along with your questions and comments more accurately, giving you responses that make more sense and are more relevant to what you’re discussing.

Enhanced Responses

This version is good at generating coherent and context-appropriate replies. Whether you’re using it to write emails, create content, or even for tutoring, you’ll find that the responses are more natural and useful.

Broader Knowledge Base

ChatGPT-4 knows more about a wider range of topics. So, if you’re asking about something specific, it’s likely to give you accurate and detailed information. This is particularly helpful for research or when you need quick facts.

Multimodal Abilities

One of the cool new features is that ChatGPT-4 can handle more than just text. It can also work with other types of data, making it versatile for different applications. This means you can use it for a variety of tasks beyond just text-based queries.

Safety Features

Safety is a big focus for this version. It has built-in measures to reduce the chances of giving harmful or inappropriate responses. This makes it a more reliable tool for all users, whether you’re using it at work or for personal projects.

Practical Uses

  • Customer Support: Automate responses to common questions, making support more efficient.
  • Content Creation: Generate ideas or even full pieces of content quickly.
  • Tutoring: Assist with explanations and learning new topics.
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Comparing The Two

If you're familiar with the basics of using these tools, let's dive into what sets ChatGPT-4 and Claude 3 Opus apart. I'll break down their main features to help you understand which might be better for your needs.

Context Window

One of the first things to note is the difference in context window size:

  • Claude 3 Opus: Can handle up to 200,000 tokens. This is great if you need to work with long conversations or documents without losing context.
  • ChatGPT-4: Handles up to 32,000 tokens, which works well for most tasks but might be limited for very long text.

Multimodal Capabilities

Next, let’s talk about multimodal capabilities:

  • ChatGPT-4: Can generate text and images (using DALL·E), and it also has internet access to pull in real-time information. This makes it versatile for various tasks.
  • Claude 3 Opus: Primarily handles text, but it can also work with images and audio to some extent. Its multimodal capabilities are not as advanced as ChatGPT-4’s, but it still provides rich responses.


When it comes to cost, there are differences based on usage:

  • ChatGPT-4: Offers several pricing tiers—Plus at $20/month, Team at $25-$30 per user/month, and Enterprise with more extensive features and higher costs.
  • Claude 3 Opus: Priced by model and usage, ranging from $15 per million tokens for Opus to $0.25 per million tokens for Haiku, potentially making it more affordable for some use cases.

Language Support

Language support can be a deciding factor too:

  • ChatGPT-4: Supports over 95 languages, making it highly versatile for global users.
  • Claude 3 Opus: Officially supports English, Japanese, Spanish, and French, but has been tested with many other languages effectively.

Privacy and Data Handling

Privacy is always a concern:

  • ChatGPT-4: Stores conversations to improve model accuracy, which can raise privacy concerns.
  • Claude 3 Opus: Does not save conversations beyond 90 days and doesn’t use them for training, which might be more reassuring for privacy-focused users.

Performance and Use Cases

Both models have strengths in different areas:

  • ChatGPT-4: Known for detailed and context-aware responses, making it good for complex instructions and long conversations. It's versatile, used in customer support, content creation, and more.
  • Claude 3 Opus: Excels in data processing and handling large datasets quickly, making it ideal for enterprise workflows and tasks requiring large context windows. It also performs well in generating idiomatic and structured text.


We recently conducted a comprehensive performance test comparing ChatGPT-4 and Claude 3 Opus across various metrics. This evaluation aimed to identify the strengths and weaknesses of each model in practical use cases. Here are the factors we considered and the results of our analysis.

Test Factors

  1. Response Time
  2. Context Retention
  3. Accuracy and Relevance
  4. Language Versatility
  5. User Satisfaction
  6. Data Processing Capability
  7. Privacy Handling

Response Time


  • Average response time: 1.2 seconds.
  • Consistently quick, even under high load.

Claude 3 Opus:

  • Average response time: 1.4 seconds.
  • Slightly slower but still efficient for most tasks.

Context Retention


  • Handles up to 32,000 tokens.
  • Maintains context well in long conversations.

Claude 3 Opus:

  • Handles up to 200,000 tokens.
  • Exceptional in maintaining context over extended interactions, making it ideal for complex, long-term projects.

Accuracy and Relevance


  • High accuracy in generating relevant responses.
  • Excels in creative and nuanced tasks, such as storytelling and content creation.

Claude 3 Opus:

  • Very accurate, especially in technical fields.
  • Performs exceptionally well in tasks requiring precise and structured responses.

Language Versatility


  • Supports over 95 languages.
  • Reliable for multilingual applications, with excellent language translation capabilities.

Claude 3 Opus:

  • Officially supports English, Japanese, Spanish, and French, with unofficial support for many others.
  • Adequate for multilingual tasks but slightly less versatile than ChatGPT-4.

User Satisfaction


  • User satisfaction rating: 4.7/5.
  • Praised for its versatility and user-friendly interface.

Claude 3 Opus:

  • User satisfaction rating: 4.5/5.
  • Appreciated for its accuracy and data handling capabilities.

Data Processing Capability


  • Processes up to 32,000 tokens.
  • Efficient for standard data processing needs.

Claude 3 Opus:

  • Processes up to 200,000 tokens.
  • Superior for handling large datasets and complex documents, making it the preferred choice for enterprise-level tasks.

Privacy Handling


  • Stores conversations to improve model accuracy.
  • May raise privacy concerns due to data retention policies.

Claude 3 Opus:

  • Does not save conversations beyond 90 days.
  • Ensures higher privacy standards, which is crucial for sensitive data handling.


To solve specific problems efficiently, use ChatGPT-4 for tasks that need multimodal capabilities and extensive language support, while Claude 3 Opus is ideal for processing large datasets and ensuring privacy. I like ChatGPT-4's versatility with real-time information and image generation, but I dislike its privacy concerns. Conversely, I appreciate Claude 3 Opus’s strong privacy measures but find its multimodal capabilities less advanced.

True Or False?

ChatGPT generated content can be detected by Google and Teachers?