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
@ai-sdk/togetherai is the official Vercel AI SDK adapter for the TogetherAI platform, built on top of the openai-compatible base package.
DeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
Reasoning models, represented by OpenAI o1, DeepSeek-R1, and QwQ, have chain-of-thought expansion as their core mechanism, generating a large number of intermediate reasoning steps before producing a final answer.
Timeline (last 90 days)
The test used DeepSeek's off-peak pricing.
DeepSeek's off-peak pricing refers to an API billing model that offers discounted prices during non-peak hours.
In the AgentX test, vLLM achieved revenue of $38.96 per GPU hour.
The tool is called the "DeepSeek version of Cloud Code" in the industry.
According to a Bilibili uploader, the tool has been deeply optimized for DeepSeek's model characteristics and is not a simple API wrapper.
Tools optimized for a single model carry binding risk: model iterations or API changes may affect the tool's stability.
Developer Evan Su was noticed by DeepSeek officially because of his DSH Layer plugin and received a 999 yuan reward.
Three model names—V5 Open, V5, and V5 Next—appear in the DeepSeek Harness code, and the relevant identifiers are also written into the test files.
As of the time point discussed in the article, the full guest list for the Wuzhen conference main forum "AI Wuzhen Dialogue" had not yet been officially announced, and DeepSeek was not listed as a formal exhibitor in the expo's officially announced exhibitor list.
DeepSeek was officially called a benchmark case of domestic open source by the 2026 Wuzhen conference, and is grouped with Alibaba and Zhijiang Lab as the "three open-source musketeers."
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All Facts (20)
@ai-sdk/togetherai is the official Vercel AI SDK adapter for the TogetherAI platform, built on top of the openai-compatible base package.
90%VerifiedDeepSeek Harness is open-sourced under the MIT license, with all source code publicly available and completely free.
90%VerifiedReasoning models, represented by OpenAI o1, DeepSeek-R1, and QwQ, have chain-of-thought expansion as their core mechanism, generating a large number of intermediate reasoning steps before producing a final answer.
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.
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