With the rapid development of artificial intelligence technology, more and more industries have begun to enter the era of AI, and numerous models, like language models, learning models, etc., are increasingly widely used in various fields.
The basic factor driving the progress of AI technology is the iteration and updating of AI models, the release of the DeepSeek-v3 model has undoubtedly injected new vitality into the field of artificial intelligence, and even refreshed the standard.
Next, we'll discuss the features and applications of the DeepSeek-v3 AI model, answering all the questions you may have: what is DeepSeek model, what can it do, how to use it and how is DeepSeek-v3 different from other models?
Part 1. What is DeepSeek-v3?
DeepSeek-v3 is a powerful MoE language model with a total of 671B parameters, each token activating 37B. In addition to following the MLA and MoE architecture from DeepSeek-v2, DeepSeek-v3 combines a load-balanced auxiliary no-loss strategy and multi-token prediction of the training objective to provide the basis for stronger performance.
Even more appealing, DeepSeek-v3 is open source that can be used for free. Whether in code, mathematical reasoning, or in DeepSeek Chat. It keeps the training cost low while providing enhanced performance. Moreover, it is very stable, with no unrecoverable loss spikes or performing any rollbacks throughout the training process.
Our DeepSeek Model accesses the latest DeepSeek APIs: DeepSeek-v3 and DeepSeek-R1. You can enjoy unlimited high-speed unofficial implementations, and in a few simple steps you can access cutting-edge AI solutions based on the output of state-of-the-art language models. And you won't have to deal with problems such as failed questions or busy systems that often occur with other models.
Part 2. Why is DeepSeek cause a stir?
The release of ChatGPT at the end of 2022 arguably opened up a new trend in AI, with various tech companies striving to create their own AI chatbots, but with the introduction of numerous chat tools, the results weren't as good as expected. That is, until the introduction of DeepSeek.
DeepSeek-v3 energized the AI market upon its release and also set new standards in the AI field. Not only does it provide great performance, but it's also cheaper to use.
Advanced architecture
On top of DeepSeek-v2's highly efficient MLA and MoE architectures, an Innovative Load Balancing Strategy is pioneered and a multi-token prediction goal is investigated, reducing load-balancing-induced performance degradation and driving inference speed.
Efficient and Low Cost
The FP8 mixed precision training framework is designed to overcome the problems encountered in training with MoE architecture, greatly improving the training efficiency and reducing the training cost. Meanwhile, on this basis, the expansion of DeepSeek model size is completed.
Instant cutting-edge AI solution
Combines the outstanding CoT model in DeepSeek-R1 with the prominent DeepSeek LLM in DeepSeek-v3, which significantly improves the inference ability of DeepSeek-v3, and is able to control the output style and length of DeepSeek-v3.
Open Source and Free
DeepSeek-v3 is an open source standout AI model that you can use directly on the web or download the model app on your mobile device to use it anytime, anywhere and for free. Its API resources are also commercially available.
Flexible Deployment
DeepSeek-v3 can be flexibly deployed locally with different hardware and open source community vendors, including but not limited to DeepSeek-Infer, SGLang, LMDeploy, TensorRT-LLM, vLLM, AMD GPU, Huawei Ascend NPU.
Part 3. How to use DeepSeek-v3?
If you want to use DeepSeek-v3 and at the same time avoid a busy system or a failed question, you’d better use the DeepSeek-v3 AI model that we have provided for you. In three simple steps, you can get access to cutting-edge AI solutions across the multiple benchmarks quickly and easily.
The entire process of using it does not require you to register or log in, nor does it require any of your personal information. To use this DeepSeek-v3 model 100% free of charge, all you need to do is:
Step 1. Access the DeepSeek-v3 model
First, get access to DeepSeek-v3 model.
You can enter DeepSeek-v3 model through the "Start Now" button on the page to experience the intelligent model. Or enter https://deepseekv3.vip/chat-online to enter Chat DeepSeek directly.
Step 2. Input your question or instruction
Enter your question or instruction in the dialog box displayed on the page and click the Enter key or Send option.
It is best to be as clear as possible with your input in order to get a more accurate and customized output.
Step 3. Get cutting-edge AI solutions
Almost the next second the command is entered, you will get cutting-edge AI solutions output by this state-of-the-art language model powered by the DeepSeek-v3 AI model.
Also, with its powerful reasoning capabilities, it will answer some of your derived questions.
Part 4. DeepSeek-R1/V2.5: more DeepSeek models
When DeepSeek is mentioned, in addition to DeepSeek-v3, DeepSeek-v2, DeepSeek-v2.5, DeepSeek-R1, ChatGPT, etc. are often mentioned. What are these models? What do they all do?
DeepSeek-v2, DeepSeek-v2.5, and DeepSeek-v3 are all general-purpose models developed by DeepSeek for a wide variety of Natural Language Processing (NLP) tasks, such as text generation, dialog systems, and Q&A systems. And their adoption of v2, v2.5, v3, etc. refers to iterations and updates of the model.
DeepSeek-R1 is a specialized model developed by DeepSeek, which refers to an AI model used for a specific task or domain, such as for information retrieval tasks or in finance, healthcare, etc.
ChatGPT is a general-purpose model developed by OpenAI for general-purpose tasks such as chatbots, Q&A systems, text generation, and so on.
In addition to this, there are many commonly used different DeepSeek AI models based on different classifications and functions, such as:
DeepSeek Coder ：https://github.com/deepseek-ai/DeepSeek-Coder
DeepSeek LLM ：https://github.com/deepseek-ai/DeepSeek-LLM
DeepSeek Math：https://github.com/deepseek-ai/DeepSeek-Math
Part 5. Why is DeepSeek better than ChatGPT or others?
How is the DeepSeek model different from other common models and why was DeepSeek-v3 so popular upon its release? In the table below, we have compared the models in this category from different perspectives, so you can visualize the advantages of DeepSeek-v3 and how it differs from other models.
| Benchmark (Metric) | DeepSeek V3 | DeepSeek V2.5 | Qwen2.5 | Llama3.1 | Claude-3.5 | GPT-4o | |
|---|---|---|---|---|---|---|---|
| 0905 | 72B-Inst | 405B-Inst | Sonnet-1022 | 0513 | |||
| Architecture | MoE | MoE | Dense | Dense | - | - | |
| # Activated Params | 37B | 21B | 72B | 405B | - | - | |
| # Total Params | 671B | 236B | 72B | 405B | - | - | |
| English | MMLU (EM) | 88.5 | 80.6 | 85.3 | 88.6 | 88.3 | 87.2 |
| MMLU-Redux (EM) | 89.1 | 80.3 | 85.6 | 86.2 | 88.9 | 88.0 | |
| MMLU-Pro (EM) | 75.9 | 66.2 | 71.6 | 73.3 | 78.0 | 72.6 | |
| DROP (3-shot F1) | 91.6 | 87.8 | 76.7 | 88.7 | 88.3 | 83.7 | |
| IF-Eval (Prompt Strict) | 86.1 | 80.6 | 84.1 | 86.0 | 86.5 | 84.3 | |
| GPQA-Diamond (Pass@1) | 59.1 | 41.3 | 49.0 | 51.1 | 65.0 | 49.9 | |
| SimpleQA (Correct) | 24.9 | 10.2 | 9.1 | 17.1 | 28.4 | 38.2 | |
| FRAMES (Acc.) | 73.3 | 65.4 | 69.8 | 70.0 | 72.5 | 80.5 | |
| LongBench v2 (Acc.) | 48.7 | 35.4 | 39.4 | 36.1 | 41.0 | 48.1 | |
| Code | HumanEval-Mul (Pass@1) | 82.6 | 77.4 | 77.3 | 77.2 | 81.7 | 80.5 |
| LiveCodeBench (Pass@1-COT) | 40.5 | 29.2 | 31.1 | 28.4 | 36.3 | 33.4 | |
| LiveCodeBench (Pass@1) | 37.6 | 28.4 | 28.7 | 30.1 | 32.8 | 34.2 | |
| Codeforces (Percentile) | 51.6 | 35.6 | 24.8 | 25.3 | 20.3 | 23.6 | |
| SWE Verified (Resolved) | 42.0 | 22.6 | 23.8 | 24.5 | 50.8 | 38.8 | |
| Aider-Edit (Acc.) | 79.7 | 71.6 | 65.4 | 63.9 | 84.2 | 72.9 | |
| Aider-Polyglot (Acc.) | 49.6 | 18.2 | 7.6 | 5.8 | 45.3 | 16.0 | |
| Math | AIME 2024 (Pass@1) | 39.2 | 16.7 | 23.3 | 23.3 | 16.0 | 9.3 |
| MATH-500 (EM) | 90.2 | 74.7 | 80.0 | 73.8 | 78.3 | 74.6 | |
| CNMO 2024 (Pass@1) | 43.2 | 10.8 | 15.9 | 6.8 | 13.1 | 10.8 | |
| Chinese | CLUEWSC (EM) | 90.9 | 90.4 | 91.4 | 84.7 | 85.4 | 87.9 |
| C-Eval (EM) | 86.5 | 79.5 | 86.1 | 61.5 | 76.7 | 76.0 | |
| C-SimpleQA (Correct) | 64.1 | 54.1 | 48.4 | 50.4 | 51.3 | 59.3 |
Part 6. FAQs
Question 1. Why is the DeepSeek not working?
Common reasons why DeepSeek does not work properly are listed below:
- Network instability
- API key error
- Quota depletion
- Device failure
- Region restriction
Question 2. Is DeepSeek free?
If you are a regular user, then you can use it for free through its official website or DeepSeek APP. If you want to use DeepSeek hosted service, then you may pay accordingly depending on the usage.
Question 3. What hardware is required to run DeepSeek-v3?
DeepSeek-v3 requirements is very flexible about local deployment, including but not limited to NVIDIA GPU, AMD GPU and Huawei Ascend NPU.
Question 4. How can I access DeepSeek v3?
You can use it online through DeepSeek's official website or download the DeepSeek APP to use it anytime, anywhere. You can also deploy it locally through the API services it provides.
Question 5. In which tasks does DeepSeek V3 excel?
DeepSeek v3 has been developed as a general-purpose model for a variety of natural language processing tasks, and is widely used in text generation, dialog and Q&A systems to achieve optimal performance in math, coding, reasoning, and multilingual tasks.
Part 7. Conclusion
After reading all of this, you will understand what DeepSeek-v3 is, what it can do and how it is used, among other things. In a nutshell, it is a large MoE language model that has pioneered auxiliary features for load balancing on top of the original model. Not only is it open source and free, but it also has enhanced performance.
Use Deepseek-v3 with the latest DeepSeek model without any possibility of question failure or system busy to quickly access cutting-edge AI results.