Deepseek V3: Improved AI model with impressive AI performance exceeds top models in benchmarks

Published on: March 26, 2025 / update from: March 26, 2025 - Author: Konrad Wolfenstein

Deepseek V3 improves Reasoning and programming

The future of the open source ki: Deepseek publishes V3 update

On March 25, 2025, Deepseek released an important update of its V3 language model called Deepseek-V3-0324. This new version shows significant improvements in areas such as the reasoning, programming and frontend development. With impressive benchmark results and the possibility of running on powerful consumer hardware, Deepseek-V3-0324 positions itself as a leading open source AI model that challenges proprietary solutions.

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Comparative analysis of the leading AI models: Google Gemini 2.0, Deepseek R2 and GPT-4.5 from Openaai

Technological foundations and architecture

Mixture-of-experts as key technology

Deepseek V3-0324 is based on an innovative mixture-of-experts (MOE) architecture that distinguishes it from many other AI models. This architecture enables the system not to activate all parts of the model for each task, but only the specific components that are required for the respective request. It works like a team of specialists, in which only the right expert is used to solve a problem.

The current model has a total of 685 billion parameters, of which only around 37 billion are activated for each task. This selective activation enables significantly more efficient processing and significantly reduces resource requirements.

Innovative techniques for improved performance

Deepseek-V3-0324 introduces two central technical innovations that increase its performance:

Multi-Head Latent Attention (MLA): This technology compresses the key value cache into a latent vector, which optimizes the processing of longer texts and significantly reduces the memory requirement.
Multi-token Prediction (MTP): enables the simultaneous generation of several tokens, which increases the output speed by up to 80 percent.
In addition, Deepseek uses V3 Mixed Precision Arithmetic, in which lubricant combarithmetics are carried out with numbers of different lengths and precision in the same operation. Reduced accuracy gains time without significantly affecting the quality of the results.

Performance improvements and benchmark results

Significant progress in different areas

Deepseek-V3-0324 shows remarkable improvements compared to its predecessor in several key areas:

Reasoning capabilities-the benchmark results show significant increases, especially for complex tasks:
- MMLU-Pro: From 75.9 to 81.2 (+5.3 points)
- GPQA: from 59.1 to 68.4 (+9.3 points)
- Aime (American Invitational Mathematics Examination): From 39.6 to 59.4 (+19.8 points)
- LiveCodebech: from 39.2 to 49.2 (+10.0 points)
Frontend development: improved skills to create executable codes and aesthetically appealing websites and game frontends.
Chinese language skills: improved writing skills with better style and quality in medium to long-format texts, optimized translation quality and letter letter.

Positioning in the AI competition

Deepseek-V3-0324 is now the highest-rated non-reading model in the intelligence index of Artificial Analysis. It surpasses all proprietary non-reading models, including Gemini 2.0 Pro, Claude 3.7 Sonnet and Llama 3.3 70b. In the intelligence index, it ranks directly behind Deepseek's own R1 model and other Reasoning models from Openaai, Anthropic and Alibaba.

In tests such as drop, Deepseek achieved an impressive 91.6%, while GPT-4O reached 83.7% and Claude 3.5 88.3%. These results underline the competitiveness of the model compared to the leading proprietary solutions.

Efficiency and accessibility

Resource optimization and hardware requirements

One of the most remarkable properties of Deepseek-V3-0324 is its efficiency. Through the MOE architecture and other optimizations, the model can be operated on powerful consumer devices such as the Mac Studio with M3 Ultra Chip, where speeds of over 20 tokens per second are achieved.

The 4-bit version of the model only needs about 352 GB of storage space and consumes less than 200 watts during the inference-significantly less than conventional AI systems, which often need several kilowatts. This efficiency could redefine the requirements for the AI infrastructure.

Open licensing and availability

In contrast to western competitors such as Openaai or Anthropic, who only offer their models via paid APIs, Deepseek-V3-0324 was published under the co-license. This enables free use and commercial inserts without restrictions.

The model is available on various platforms:

Via the Deepseek app
On the official website
Via programming interface (API)
As an installation on your own computers
About the Microsoft Azure Cloud

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Corporate history and vision

From the financial world to AI research

Deepseek was founded in April 2023 by Liang Wenfeng, who previously founded the HEGGINK HEG-Flyer in 2015. The hedge fund had specialized in mathematical and AI-supported trade strategies, which laid the foundation stone for later AI development.

The company was founded against the background of the export ban imposed by the USA from high technology chips to China. Deepseek pursues the strategic goal of providing a powerful and competitive alternative to western AI solutions and at the same time strengthening China's technological sovereignty.

Philosophy of openness

According to Liang Wenfeng, the company's research results and models are always published under open source licenses, which is part of the corporate culture. This openness is in contrast to numerous proprietary AI systems that are characterized by restrictive licenses.

"We firmly believe that 99 percent of the success of hard work and only one percent result from talent," the company describes its philosophy on its website.

Outlook and future developments

Basis for new models

Deepseek-V3-0324 could serve as the basis for a new Reasoning model called R2, the publication of which is expected in the coming weeks. The current R1 model had already attracted attention through its problem-solving skills.

The continuous further development of the deepseek models indicates a dynamic roadmap, which may also include multimodal support and other future-oriented functions in the deepseek ecosystem.

Democratization of the AI: How Deepseek-V3-0324 sets new standards

Deepseek-V3-0324 represents significant progress in the development of large voice models. Through its innovative architecture, impressive performance and open licensing, it challenges established proprietary models and could drive the democratization of AI technologies.

The combination of technological innovation, efficiency and accessibility makes Deepseek-V3-0324 an important milestone in the AI landscape. With its ability to run on consumer hardware, and its improved skills in areas such as reasoning, programming and frontend development, Deepseek positions itself as a serious competitor for leading AI companies such as Openaai, Google and Anthropic.

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