DeepSeek
DeepSeek is a series of large language models developed by DeepSeek (深度求索), possessing core capabilities in natural language understanding and generation, code writing, and logical reasoning. The model series is characterized by high performance and efficiency, supporting a range of natural language processing tasks including dialogue, question answering, text summarization, and complex reasoning. Both open-source and closed-source versions are available for research and commercial applications.
Core Facts
DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
OpenAI's Chat Completions API format of using a message array as input has become the de facto industry standard, with mainstream model providers such as Anthropic, Google Gemini, and Mistral all offering compatible or similar interfaces.
DeepSeek-V3 adopts a Mixture of Experts (MoE) architecture with a total parameter count of 671 billion, but only approximately 37 billion parameters are activated per inference.
Timeline (last 90 days)
The DeepSeek web version supports registration and use with a mobile phone number, is directly accessible from domestic networks, and is suitable for scenarios such as daily Q&A, writing, translation and study assistance.
DeepSeek V4's specific parameter count, context window and billing standards are being continuously adjusted, and different sources give inconsistent figures, so it is recommended to consult the official documentation.
When using online AI services, sensitive materials such as ID card numbers, original contracts and company secrets should not be uploaded, and this rule applies to all online AI services.
The DeepSeek web version and App are currently free for individual users (there may be queuing or busy prompts during peak periods), while the API is billed by actual usage.
The developer of the DeepSeek mobile app in legitimate app stores should be shown as Hangzhou DeepSeek.
Conversational large models such as Doubao, DeepSeek, and Tongyi Qianwen can understand needs, analyze problems, and give solutions, but cannot directly operate the user's computer to execute tasks.
Across the dimensions of requirement understanding, solution generation, directly operating the computer, file reading and writing, and function calling, WorkBuddy's core difference compared with Doubao/DeepSeek lies in its support for directly operating the computer and automatic tool orchestration.
Tokenization rules differ greatly across model families, and the same piece of English may differ by 10% to 30% in token count under the GPT family, the Claude family and the DeepSeek family.
Over the past year or more, open-source large models from China have frequently appeared on the Hugging Face trending list, including DeepSeek, Qwen, GLM, MiniCPM and others.
According to foreign media reports, DeepSeek plans to lead the investment in Winverse AI, a robotics company founded by former Tencent AI scientist Hu Han.
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All Facts (20)
DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
90%VerifiedOpenAI's Chat Completions API format of using a message array as input has become the de facto industry standard, with mainstream model providers such as Anthropic, Google Gemini, and Mistral all offering compatible or similar interfaces.
90%VerifiedDeepSeek-V3 adopts a Mixture of Experts (MoE) architecture with a total parameter count of 671 billion, but only approximately 37 billion parameters are activated per inference.
90%VerifiedDeepSeek's deep thinking mode is essentially an enhanced implementation of the Chain-of-Thought mechanism.
90%VerifiedDeepSeek is a series of large language models developed by the Chinese artificial intelligence company Deepseek.
90%VerifiedGRPO (Group Relative Policy Optimization), proposed by DeepSeek, requires no separate training of a value network and has become the mainstream algorithm choice for current agentic RL training.
90%VerifiedThe DeepSeek Flash version is a distilled model optimized for low-latency scenarios, trading some complex reasoning capability for faster response speeds and lower token unit prices.
90%VerifiedGPT-4和Mixtral等主流大模型也采用了MoE架构
85%VerifiedDeepSeek V4 Flash is an MoE multimodal model with a total parameter count of 284B.
80%VerifiedDeepSeek officially positions Harness as a Developer Preview.
80%VerifiedDeepSeek V4 Flash is a cost-effective inference model released by DeepSeek, optimized for speed and cost.
80%VerifiedDeepSeek Harness only requires installing Node.js and entering a single command to run in a browser, achieving out-of-the-box usability.
80%VerifiedThe core design philosophy of DeepSeek Harness is to treat everything as a plugin, including tools, skills, and drawing functionality.
80%VerifiedDeepSeek Harness采用TypeScript编写
80%VerifiedAccording to official disclosure, DeepSeek's training cost was only approximately $6 million.
80%VerifiedDeepSeek addresses the expert collapse problem by introducing auxiliary loss functions to force balanced load distribution across experts
80%VerifiedDeepSeek R1 does not support Function Calling by default, whereas DeepSeek V3 supports Function Calling.
80%VerifiedDeepSeek is an AI laboratory incubated by quantitative private equity giant High-Flyer Quant.
80%VerifiedThe API platform address for DeepSeek is platform.deepseek.com.
80%VerifiedDeepSeek API Key创建后只显示一次，之后无法再查看
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