DeepSeek V3 vs. OpenAI's GPT-4o: Which AI Model is Better?

Among the most frequently used large language models in both daily and professional life is OpenAI's GPT-4o model. This model is effective in various areas from content generation to research with its accessibility and high performance. Although the GPT-4o model has its counterparts, they serve with similar pricing plans. However, the DeepSeek V3 model has entered the market as an LLM that offers its users the performance-matching GPT-4o at much lower prices. If you are looking for a cheaper alternative to GPT-4o and are curious about the DeepSeek V3 model, we've got you covered!

In this article, we will examine the DeepSeek V3 model and compare it with the GPT-4o model.

If you are ready, let's get started!

TL; DR

• DeepSeek V3 model is a cost-effective large language model with 671B parameters and 37B parameters are activated for each token.
• DeepSeek V3 model uses technologies such as Mixture of Experts (MoE) and Multi-Token Prediction (MTP) to generate high-performance and low-cost outputs for its users.
• You can access the DeepSeek V3 model from its official website or experience the DeepSeek V3 model via TextCortex.
• DeepSeek V3 model outperforms the GPT-4o model in most natural language benchmarks and all coding, and reasoning math benchmarks.
• Although the DeepSeek V3 model is an open-source model, GPT-4o model codes are not publicly available.
• The DeepSeek V3 model is an alternative LLM that offers higher performance than the GPT-4o model at much lower prices.
• If you are looking for a method to integrate both the DeepSeek V3 model and the GPT-4o model into your enterprise, TextCortex is the way to go.

What is DeepSeek V3?

DeepSeek V3 model is a large language model that uses the Mixture of Experts (MoE) model with 671B parameters and activates 37B parameters in each token, providing high efficiency with low energy. DeepSeek V3 model is trained with 14.8T tokens to provide high performance and generate concise outputs by consuming low power for users.

DeepSeek V3 Features

DeepSeek V3 model uses the Multi Token Prediction (MTP) method to understand users’ queries and perform complex tasks concisely. Multi Token Prediction (MTP) increases the training efficiency of the model and enables it to generate outputs faster and more accurately. While traditional MoE (Mixture of Experts) models rely on a system that degrades performance, the DeepSeek V3 model uses an MoE that achieves a balance between accuracy and performance with a dynamic adjustment strategy.

DeepSeek V3 Pricing

DeepSeek V3 model saves energy with its own MoE technology and Multi-Token Prediction (MTP) and offers services to its users at lower prices. DeepSeek V3 model charges $0.07 for 1 million tokens input cache hit, $0.27 for 1 million tokens input cache miss, and $1.10 for 1 million tokens output. In addition, thanks to DeepSeek’s promotional period, you can use the DeepSeek V3 model API at a discount until February 8, 2025.

How to Access DeepSeek V3?

The most basic way to access the DeepSeek V3 model is to use it as an AI chatbot through the DeepSeek's official website. If you want to access the DeepSeek V3 model as an API, you can use the DeepSeek website or Huggingface.

DeepSeek V3 vs. GPT-4o Comparison

DeepSeek V3 is a large language model developed by Chinese entrepreneurs that offers performance rivalling OpenAI’s GPT-4o model but at a lower cost. Both large language models have their own advantages and disadvantages. If you’re wondering what the differences between DeepSeek V3 and GPT-4o are, we’ve got you covered!

Performance & Benchmark

The DeepSeek V3 model outperformed the GPT-4o model in most of the benchmarks designed to measure the performance of large language models. In the MMLU benchmark designed to measure the natural language capabilities of LLMs, the DeepSeek V3 model scored 88.5, while the GPT-4o model scored 87.2.

The DeepSeek V3 model has higher scores than the GPT-4o model in all benchmarks designed to measure the coding, reasoning, and math performance of LLMs. For example, the DeepSeek V3 model has a score of 82.6 in the HumanEval benchmark, while the GPT-4o model has a score of 80.5. Another example is in the Codeforces benchmark designed to measure the complex coding performance of LLMs, The DeepSeek V3 model has a score of 51.6, while the GPT-4o model has a score of 23.6 in the same benchmark. All these statistics show that the DeepSeek V3 model has higher performance than the GPT-4o model in tasks that require coding, math, and reasoning.

Model Features

When it comes to model features of DeepSeek V3 and GPT-4o, both large language models provide 128K tokens input context window. However, the GPT-4o model has a 16.4K tokens output capacity, while the DeepSeek V3 model can generate a maximum of 8K tokens output at a time. However, the DeepSeek V3 model is open-source, while the GPT-4o model’s code is not available for public use. GPT-4o model’s API is available via OpenAI and Azure OpenAI service, while the DeepSeek V3 model is available via DeepSeek and Huggingface. The GPT-4o model supports textual and visual input, while the DeepSeek V3 model only supports textual input.

DeepSeek V3 vs GPT-4o Pricing Comparison

When it comes to the pricing of the two models, we can say that DeepSeek V3 is cheaper than the GPT-4o model. GPT-4o model charges $1.25 per million input cache hit tokens, $2.50 per million input cache miss tokens, and $10 per million tokens output. On the other hand, the DeepSeek V3 model charges $0.07 per million input cache hit tokens, $0.27 per million input cache miss tokens, and $1.10 per million output tokens. When we compare the pricing of the two large language models, we can say that the DeepSeek V3 model is budget-friendly and high-performance.

TextCortex: All-in-One AI Assistant

If you are looking for a method to integrate both the DeepSeek V3 model and the GPT-4o model into your enterprise and use the model you need for specific tasks, then TextCortex is designed for you. TextCortex offers its users features such as multiple LLMs, image generators, knowledge bases, web search, powerful RAG, conversational AI assistant, workflow automation, and knowledge management, including DeepSeek V3 and GPT-4o models. With TextCortex, you can integrate the DeepSeek V3 or GPT-4o model into your complex workflow and automate your workload.

TextCortex is an effective solution not only for automating the tasks of your enterprise but also for increasing the individual performance of your employees. By unlocking TextCortex and its features for your employees, you can make their tasks, such as finding data, analyzing data, and completing repetitive tasks, easier and quicker. Check out the results from one of our case studies:

• TextCortex was implemented for Kemény Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
• AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
• Employee confidence in using and working with AI increased by 60%.‍
• The implementation results in a 28x return on investment (ROI).

Frequently Asked Questions

What are the key differences between GPT-4o and DeepSeek V3?

The DeepSeek V3 model offers higher coding performance than the GPT-4o model. In addition, the DeepSeek V3 model can provide much cheaper services to its users because it uses a more energy-efficient method than the GPT-4o model in terms of architecture. The DeepSeek V3 model is almost 10 times cheaper than the GPT-4o model.

Is DeepSeek V3 actually better than ChatGPT-4o?

The DeepSeek V3 model offers higher performance than the ChatGPT-4o model in technical tasks that require coding, reasoning, and math skills. Moreover, the DeepSeek V3 model offers this performance much cheaper than the GPT-4o model; thus, it is a high-performance and budget-friendly alternative. If you need to utilize two large language models in your business, you can start using both LLMs by integrating TextCortex into your workflow.

When were DeepSeek V3 and GPT-4o released?

DeepSeek V3 was released on December 27, 2024, while GPT-4o was released on August 6, 2024. In other words, the DeepSeek V3 model is a newer model released with more up-to-date technologies. This difference has enabled the GPT-4o model to be adapted and used in various sectors while providing the DeepSeek V3 model with the opportunity to launch with a lower pricing with a highly energy-efficient method.