GPT4o vs DeepSeekv3: Which LLM is Best for Your Needs

The fleeting moments of 2024 brought about one of the best open-source large language models: DeepSeek v3. In a year populated by massive releases from every lab that could, including giants like GPT4o, Llama 3.1, Mistral Large, and Claude Sonnet, DeepSeekv3 came as a pleasant surprise with its cost efficiency and performance.

Standing proud with over 685 Billion parameters and a mixture of expert architecture, DeepSeek v3 crushes, and clashes against the top closed-source leaders regarding coding, mathematics, and translation tasks.

Apart from some categories mentioned above, where the model seeks out competition against giants, GPT4o is a rather interesting comparison. Early adopters of the model quickly noticed that the new model seemed to think of itself as ChatGPT, where developers credited it to data contamination. 

This blog will further distinguish between the models through simple tasks that help us identify the best model for your needs.

Technical Differences Between GPT4o and DeepSeekv3

DeepSeek reported that their new model is showing great competitive results not only for GPT4o but also for other giants such as Claude 3.5 Sonnet and Qwen 2.5 72B. Before comparing the models, let's quickly examine their technical attributes. 

GPT-4o

GPT-4o is a high-performing AI model designed for extensive input and output tasks. Its proprietary nature makes it less flexible for developer modifications but ensures stability and reliability.

1. Context: Supports an input context window of 128K tokens, ideal for processing complex or lengthy inputs.

2. Token: Generates up to 16.4K tokens per request, making it suitable for tasks requiring large text outputs.

3. Modalities: Text, Vision and Audio

4. Architecture: Not Known

DeepSeek-V3

DeepSeek-V3 stands out with its open-source approach, which allows developers to adapt it to specific needs while maintaining robust functionality.

1. Context: Handles an input context window of 128K tokens, matching GPT-4o in processing capability.

2. Token: Produces up to 8K tokens per request, focusing on concise and efficient output generation.

3. Modalities: Text

4. Architecture: MoE

Comparing GPT4o and DeepSeekv3

For the sake of simplicity, instead of discussing numbers and how they may influence your interactions with the models, let's compare them through a series of tasks. These tasks should cover the general use cases we intend to get out of these models.

Generation Task

For a generation, we would like to compare the models on their marketing copy generation ability, where they are required to write a 200 Character tweet that covers everything introduced to Tune Chat in its latest update:

Prompt:

"Generate a 200-character tweet summarizing the key points of the press release about 'Tune Chat's Major Update,' based on the following newsletter copy:

'Tune Chat was released with a significant update designed to enhance user experience. Based on feedback, the platform has new features to help you collaborate and work more efficiently. Join 620,000 users working across different use cases, models, providers, and more!

• Model Management: Simplify workflows with tools to organize, sort, and switch between models.

• API Support: Seamlessly integrate custom models into your workspace.

• Collaboration Features: Share chats and workspaces with team members and organizations.

• Expanded Integrations: Now compatible with OpenAI, Anthropic, OpenRouter, and more.

• Global Search: Locate files and chats across your workspace instantly.

• File Interaction: Organize and engage with your files in real time.

Invite your friends and family to join Tune Chat and enjoy the perks together. For every friend who signs up, you’ll both receive a free month of Pro, valued at $20 each. It’s our way of saying thank you for being part of our journey!'"

DeepSeekv3 Output

🚀 Tune Chat’s major update is here! 🚀 Enjoy enhanced collaboration, model management, API support, global search, & real-time file interaction. Now integrated with OpenAI, Anthropic, OpenRouter & more. Join 620K users & invite friends for a free Pro month! 🌟 #TuneChatUpdate #AI

GPT4o Output

🚀 Tune Chat's major update boosts collaboration & efficiency! Enjoy new model management tools, API support, expanded integrations (OpenAI, Anthropic), global search, & real-time file interaction. Join 620K users & invite friends for a free Pro month! #TuneChatUpdate #AI

Coding Task

For the coding task, we will ask the two models to explain this rather interesting piece of Python one-line code, which will test the model’s ability to understand coding principles.

When run, ideally, the code should print “hello world”

Prompt:

What will this Python code output:

print(''.join(chr(ord(c)^42) for c in 'BOFFE\n]EXFN'))

DeepSeekv3 Output

GPT4o Output

Physics Task

For physics, we shall ask both models for an MCQ to test the models for motion dynamics.

• DeepSeek v3 Conversation

• GPT4o Conversation

Both models provided the correct answer. However, significant differences can be seen in the later part of processing, where DeepSeek seems to focus entirely on the mathematical aspect of the problem and stops explaining why it does what it does.

Which LLM is the Best?

Depending on your needs, you can choose between GPT4o and DeepSeekv3. GPT4o is ideal for multimedia content creation and complex data analysis because it offers extensive text, vision, and audio capabilities.

Conversely, if efficiency in text-based tasks like coding assistance or problem-solving is your priority, DeepSeekv3 excels with its resource optimization and concise outputs. This makes it perfect for organizations seeking cost-effective solutions for educational or professional workflows.

Build AI Workflows with the Top LLMs

Ready to harness the power of cutting-edge LLMs like DeepSeekv3, GPT4o, Llama 3.3, and more? Visit TuneStudio today to start creating and optimizing your AI-driven workflows.

Whether you're looking to enhance backend operations or explore new frontiers in AI applications, TuneStudio provides the tools and flexibility you need to succeed. Dive into the world of advanced language models and quickly transform your projects!

Further Reading

Tune Dev Cookbook

Quantitatively Comparing GPT4o and DeepSeekv3