DeepSeek
DeepSeek is an intelligent assistant developed by DeepSeek, an artificial intelligence company under the well-known private equity giant Huanfang Quantitative
English
English
DeepSeek is an intelligent assistant developed by the artificial intelligence company under the well-known private equity giant DeepSeek Quantitative, which independently developed a large language model development. The AI chat assistant can perform various tasks such as natural language processing, question-and-answer system, intelligent dialogue, intelligent recommendation, intelligent writing and intelligent customer service. DeepSeek uses large-scale data for training, has strong language understanding and generation capabilities, and can answer various questions raised by users, including but not limited to common sense questions, professional questions, historical questions, scientific and technological questions, etc. It can also have intelligent dialogue with users, understand users' intentions and emotions, and give corresponding answers.
DeepSeek official website address: https://www.DeepSeek.com/
Operating system: DeepSeek supports Windows, Linux and MacOS systems, and Galaxy Kirin systems. Make sure your operating system meets version requirements, such as Windows 10 and above, common Linux distributions (such as Ubuntu 18.04+, etc.), MacOS Catalina 10.15 and above. Note, however, that some versions or features may perform better on specific operating systems, such as Linux or macOS systems, which are usually more recommended.
Multimodal data processing
DeepSeek 's model has the ability to process data types such as text, images, audio simultaneously, and supports cross-modal retrieval, content generation and data fusion applications. For example, corresponding picture information can be generated through text description, or the image content can be automatically converted into text description.
Reinforcement learning and complex reasoning
Through reinforcement learning technology, DeepSeek can demonstrate excellent performance in tasks such as complex logical reasoning, mathematical problem solving, and password decryption. Its model has certain advantages in logical chain construction and advanced reasoning.
Open source interface and modular design
Provides complete open source code and API interfaces to facilitate developers to quickly integrate into existing systems. Modular design allows users to secondary development and function expansion of models according to specific needs, and flexibly respond to different scenarios.
Low-cost and efficient deployment
Compared with traditional AI systems, DeepSeek 's model design focuses on resource utilization efficiency, reduces computing and storage costs, and supports efficient deployment in a variety of hardware and cloud platform environments.
The model prices listed in the table below are in units of "million tokens". Token is the smallest unit used by the model to represent natural language text, which can be a word, a number, or a punctuation mark, etc. We will count based on the total token number of model inputs and outputs.
Model & Price Details
| MODEL (1) | DeepSeek -chat | DeepSeek -reasoner | |
| CONTEXT LENGTH | 64K | 64K | |
| MAX COT TOKENS (2) | - | 32K | |
| MAX OUTPUT TOKENS (3) | 8K | 8K | |
| STANDARD PRICE (UTC 00:30-16:30) | 1M TOKENS INPUT (CACHE HIT) (4) | $0.07 | $0.14 |
| 1M TOKENS INPUT (CACHE MISS) | $0.27 | $0.55 | |
| 1M TOKENS OUTPUT (5) | $1.10 | $2.19 | |
| DISCOUNT PRICE (6) (UTC 16:30-00:30) | 1M TOKENS INPUT (CACHE HIT) | $0.035 (50% OFF) | $0.035 (75% OFF) |
| 1M TOKENS INPUT (CACHE MISS) | $0.135 (50% OFF) | $0.135 (75% OFF) | |
| 1M TOKENS OUTPUT | $0.550 (50% OFF) | $0.550 (75% OFF) | |
advantage
Open and flexible
Adopt an open source strategy to facilitate technology sharing and collaborative innovation.
The model is flexible and customizable to meet the needs of different scenarios.
Low cost and efficient
Low deployment and operation costs, suitable for small and medium-sized enterprises and startups.
Can operate under low hardware requirements and reduce user investment costs.
Multimodal processing capability
It can process text, images, audio and other data at the same time, improving the application range of the model.
Widely used in the industry
It has been verified and effective by many industries and has high market application value.
shortcoming
Privacy and security risks
In some countries and regions, DeepSeek 's application may be restricted or disabled due to privacy and data security issues.
Strict content review
The built-in review mechanism of the model has limitations on answering sensitive topics, which may affect the performance of some application scenarios.
Data bias and accuracy issues
Like other AI models, there may be training data bias, and the content generated requires manual verification.
Ecological dependency
Although open source strategies bring flexibility, they may also face problems such as imperfect ecosystems and high maintenance costs.
Account issue
Account cannot be logged in
The recent behavior of your account may have triggered our automated risk control strategy, causing us to temporarily close your access to your account. If you need to appeal, please fill out the questionnaire and we will deal with it as soon as possible.
Email cannot be registered
If you receive an error message when registering, "Register failed, registration of this email domain name is not supported for the time being." This is because your email address is not supported by DeepSeek , please switch to the email service provider. If you still have any questions, please contact service@ DeepSeek .
Enterprise certification
What is the difference between personal real-name authentication and enterprise real-name authentication?
There is currently no difference between personal real-name authentication accounts and enterprise real-name authentication accounts in terms of user rights and product functions, but the authentication method and required materials are different. According to compliance requirements, please verify based on the actual use of your account.
Can the real-name account of a company be changed to a personal account?
The real-name authentication account of the enterprise cannot be changed to personal authentication or other enterprises.
Financial issues
How to top up?
Online recharge: After completing real-name authentication, you can use Alipay/WeChat to recharge online on the recharge page. You can check the recharge results on the billing page.
Remittance to public: Remittance to public is only supported by corporate users. After completing the real-name authentication of the enterprise, you can obtain an exclusive remittance account and make payments to the exclusive remittance account. To ensure the smooth progress of the remittance, please make sure that the account opening name of the remittance party is consistent with the real-name authentication name of the open platform. After our bank account arrives, the amount of remittance will be automatically transferred to your open platform account within about 10 minutes - 1 hour. If you do not receive it in time, please contact us.
Will the balance expire?
The recharge balance will not expire or expire. The validity period of the gift balance you can view on the billing page.
How to apply for an invoice?
Please visit the billing page, click Invoice Management to apply for an invoice. When corporate users issue invoices, the invoice header needs to be consistent with the real-name authentication information. The current invoice issuance cycle is about 7 working days.
API call issues
What is the concurrency limit when calling the model? Can the account concurrency limit be increased?
At the current stage, we did not set the hard concurrency upper limit according to the user. When the total system load is high, a dynamic current limiting model based on system load and user short-term historical usage may cause users to receive 503 or 429 error codes.
At present, it is not supported to increase the concurrency limit for a single account. Thank you for your understanding.
Why do I feel that the API returns slower than the web page
The web page uses streaming output (stream=true) by default, that is, every character output by the model will be displayed incrementally on the front end.
The API uses non-stream output by default (stream=false), that is, the model will not be returned to the user after all content is output. You can improve interactivity by turning on the stream mode of the API.
Why does the API continue to return empty lines?
In order to keep the TCP connection from interrupting due to timeout, we will continue to return empty lines (non-streaming requests) or SSE keep-alive comments (: keep-alive, streaming requests) while the request is waiting for scheduling. If you are parsing HTTP responses yourself, be careful to handle these blank lines or comments.
Is LangChain supported?
support. LangChain supports the OpenAI API interface, while the DeepSeek API interface is compatible with OpenAI. You can download the following code file and replace the API Key in the code to implement the DeepSeek API in LangChain.
