Artificial intelligence technology is evolving every day and new players are joining. One of the latest players to join the large language model space is the DeepSeek v3 model. The DeepSeek v3 model is an LLM that can compete with popular models such as GPT-4o and Claude 3.5 Sonnet and offers lower pricing than them. If you use large language models in your company or your daily life and are looking for a cheap alternative, DeepSeek v3 is an LLM that you should put on your radar.

In this article, we will examine the DeepSeek v3 model and explore its features.

Ready? Let’s dive in!

TL; DR

  • DeepSeek v3 model is an open-source Chinese LLM model released on December 26, 2024.
  • You can access the DeepSeek v3 model from its official website or the Huggingface.
  • DeepSeek v3 model has lower service fees compared to its counterparts GPT-4o, Claude 3.5 Sonnet and Llama-3 models.
  • DeepSeek v3 model generates accurate and high-quality output using DeepSeekMoE, Multi-Head Latent Attention (MLA), and Multi-Token Prediction (MTP) technologies.
  • DeepSeek v3 model offers high performance in natural language, coding, reasoning, and math tasks at low prices.
  • If you are looking for a way to automate your complex workflow using various high-end LLMs, including DeepSeek v3, then TextCortex is designed for you.

DeepSeek v3 Review

DeepSeek v3 is an open-source model released on December 26, 2024. It provides 671 billion parameters and activates 37 billion parameters for each token. The DeepSeek v3 model uses the Mixture-of-Experts (MoE) model for its parameters. This extensive parameter count allows it to understand and generate more nuanced and complex inputs and outputs. The DeepSeek v3 model also gives users a 128K token context window.

DeepSeek v3 Review

How to Access DeepSeek v3?

The DeepSeek v3 model is available as open source via HuggingFace. You can install the DeepSeek v3 model via HuggingFace and utilize it for your personal use. However, if you are going to utilize the DeepSeek v3 model for commercial use, we recommend that you review its policy. While the DeepSeek v3 model allows its users to use their inputs for service-related tasks, it restricts the outputs produced by the users to be used for commercial purposes.

How to Access DeepSeek v3?

If you only want to chat with DeepSeek v3 model, you can access it via DeepSeek's official website. Once you open the website you can choose to chat with DeepSeek via browser or install its application.

DeepSeek v3 Pricing

If you only want to chat with the DeepSeek v3 model, you have limited chat tokens as a free user. If you want to use the DeepSeek v3 model as API, you have to pay $0.07 for every million tokens as input cache hit, $0.27 for every million tokens as input cache miss, and $1.10 for every million tokens as output. However, the DeepSeek v3 model offers a 50% discount on input token pricing and a $0.82 discount on output token pricing until February 8, 2025.

DeepSeek v3 Pricing

Core Features of DeepSeek v3

DeepSeek v3 is an LLM developed by Chinese entrepreneurs that offers performances that rival popular LLMs such as GPT-4o. DeepSeek v3 offers lower pricing than popular LLMs, providing users with a cheap alternative. If you are wondering about the core features of DeepSeek v3, we’ve got you covered!

DeepSeek v3 Architecture

DeepSeek v3 model uses Multi-Head Latent Attention (MLA), DeepSeekMoE and Multi-Token Prediction (MTP) technologies to generate output and understand inputs. Multi-Head Latent Attention (MLA) technology is an architecture used to maintain high quality while reducing memory overhead. DeepSeekMoE technology eliminates the need for auxiliary loss by using dynamic bias adjustment. Multi-Token Prediction (MTP) technology allows the model to predict multiple tokens at once and produce faster output in complex tasks.

DeepSeek v3 Architecture

DeepSeek v3 Natural Language Performance

When it comes to the natural language performance of DeepSeek v3, it is competitive with those popular AI models GPT-4o and Claude 3.5 Sonnet model. According to the DeepSeek v3 introduction document, the DeepSeek v3 model outperforms GPT-40 and Claude 3.5 Sonnet models in the MMLU benchmark, while slightly behind Llama 3. When it comes to the LLMU-Pro benchmark, the DeepSeek v3 model outperforms Llama 3 and GPT-4o models, while slightly behind the Claude 3.5 Sonnet model. Also, the DeepSeek v3 model outperforms the GPT-4o and Llama 3 models in the GPQA-Diamond benchmark, while scoring lower only than the Claude 3.5 Sonnet model.

DeepSeek v3 Natural Language Performance

DeepSeek v3 Reasoning and Math

The DeepSeek v3 is a large language model that offers advanced reasoning, math, and coding skills thanks to Multi-Token Prediction and Mixture of Experts (MoE) technologies. DeepSeek v3 outperformed popular LLMs GPT-4o, Claude 3.5 Sonnet, and Llama-3 with a score of 82.6 in the HumanEval benchmark, which is used to measure the coding performance of Large Language Models. DeepSeek v3 also managed to get higher scores than its competitors in the LiveCodeBench and Codeforces benchmarks.

DeepSeek v3 Reasoning and Math

TextCortex 

If you are looking for an AI assistant that does not require you to deal with complex LLM training stages and allows you to automate it by integrating it directly into your company’s complex workflow, then TextCortex is designed for you.

TextCortex offers its users multiple LLM options including popular and high-end LLMs such as GPT-4o, Claude 3.5 Sonnet, OpenAI-o1, and DeepSeek R1, multiple AI image generators, web search, knowledge bases and powerful RAG.

TextCortex provides enterprise users with workflow automation, company knowledge, and writing assistance features, enabling them to retrieve information accurately and quickly from company data, turn company data into information, and automate repetitive complex tasks. Additionally, each of your employees can work more efficiently by increasing their performance using the TextCortex AI assistant. 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

Is DeepSeek V3 safe to use?

According to the privacy policy of the DeepSeek V3 model, each input of the DeepSeek v3 model can be used for service-related purposes. This means that any data you upload to the DeepSeek v3 model can be used to generate output for another user. If you are working with sensitive data and do not want to leak them, we recommend that you approach DeepSeek v3 with caution. If you need a company AI assistant that cares about your company data and privacy, TextCortex, which guarantees your privacy with SOC Type I, SOC Type II, and GDPR certificates, is a better choice.

Is DeepSeek a Chinese company?

DeepSeek is a Chinese tech company funded by Liang Wenfeng. DeepSeek provides low-demand and high-performance LLM capabilities to its users. In other words, the development team, owner, and founder of DeepSeek are Chinese.

Is DeepSeek good for coding?

DeepSeek offers higher coding performance at lower prices than other popular LLMs (such as GPT-4o, Claude 3.5 Sonnet, and Llama-3). If you are not handling private coding tasks and are not worried about leaking your company data, you can use DeepSeek as a coding AI assistant. DeepSeek’s high scores in benchmarks and its performance/price balance compared to other LLMs make it a good LLM for coding tasks.