AI Giants (like OpenAI, Grok, and Gemini) were spending around $100M to train their models, seeking to reduce training costs. Meanwhile, China-based DeepSeek introduced its V3 model at just $5.6M, and the game changed in the AI industry.
From its cutting-edge DeepSeek-Coder for code generation to DeepSeek-VL for image recognition tasks, the company has built a strong network of various open-source products, services, and models in the market. These products and services are available at a reasonable price.
Want to know about DeepSeek products, services, and models? If so, let’s get straight to it.
Models
There are various types of DeepSeek models, which are open source, meaning anyone can use and tweak the source according to their convenience. Here are all DeepSeek models.
DeepSeek-R1
The DeepSeek R1 model was launched in January 2025 and is a reasoning-focused model that runs on web and app versions. It offers advanced reasoning, mathematical, and coding capabilities.
DeepSeek-V3
It is a general-purpose model optimized for versatility (e.g., coding, math, multilingual tasks, etc.). It is designed for direct answers and broad applications like content generation, summarization, and translation. It’s best known for cost-efficient training around 5.6 M.
DeepSeek-Coder
DeepSeek Coder is a coding-specific model for developers and tech enthusiasts that helps with code generation, bug detection, and code completion. The early model was released in November 2023, and on Coder-V2 model was introduced in July 2024. It is pre-trained on 2 trillion tokens (87% code, 13% natural language in English and Chinese) with a 16K context window.
DeepSeek-VL
DeepSeek-VL is an open-source vision-language model designed for real-world multimodal understanding, integrating visual and textual data for tasks like visual question answering (VQA), optical character recognition (OCR), document/chart understanding, and visual grounding. It was trained on 400 billion vision-language tokens and 500 billion text tokens, which means tons of image data paired with textual descriptions were fed to it.
DeepSeek V2
This model is a general-purpose task model that focuses on efficiency. It optimized the components in the V2.5 model, which was the foundation for V3.
DeepSeek Math
The Math model is specially designed for mathematical reasoning and problem-solving across a broad range of mathematical tasks. It was initially released in April 2024. This model can handle various mathematical problems, including arithmetic, algebra, geometry, and potentially advanced topics like calculus or statistics.
DeepSeek-Prover-V2
This model is designed to focus on formal theorem proving in the Lean 4 programming language, focusing on rigorous, formal mathematical proofs. It generates and verifies formal proofs in mathematical logic, particularly for advanced mathematical benchmarks like MiniF2F and PutnamBench. It was initially launched in early 2025.
DeepSeek LLM
It is a foundational model for its DeepSeek portfolio, and models like Coder, Math, and Prover-V2. Its LLM model is designed to serve as doing general tasks like text generation, question answering, conversation, and reasoning across various domains.
Janus-Pro-7B
Though there is a vision model in the DeepSeek portfolio, which only focuses on text-based images. So, DeepSeek introduced Janus Pro for generating and understanding images.
Products & Services
DeepSeek offers a few products and services, but these are more cost-effective than OpenAI, Gemini, and Anthropic. Here are those as follows:
DeepSeek App
This mobile app provides access to models within the application. R1 reasoning and search features are provided in it to understand the context and browse the internet to collect the latest information. It offers Multi-round conversations, file uploads, internet search, and knowledge base integration.
Web Version
A Web-based platform is designed for interacting with DeepSeek models, providing access to chatbot functionalities and API services.
API Access
This API allows developers to integrate DeepSeek’s models into their applications, facilitating tasks like content generation and code assistance, and other business functionalities. It is also helpful for businesses and enterprises through Integration support, custom model fine-tuning, and deployment assistance at a very low cost.
What Can DeepSeek Do for You? Key Benefits
If you’re the general audience, then the result of this AI tool will be shocking, but for business and other use cases will benefit most in terms of operational and financial.
For Professionals & Businesses
If you’re a professional working in the company, it can automate tasks like filling spreadsheets with data entries or creating standardized reports.
Though it can automate business operations like invoice processing or email drafting, its real potential is unlocked in decision-making, where it analyzes market trends or customer preferences.
For Developers & Tech Teams
For Developers, the Coder-V2 model will help, though it can generate basic-level code, taking assistance is a good option for developing fully functional app and websites.
It can identify bugs and suggest optimizations for tech-based startups and teams. Additionally, it can debug complex algorithm errors in real time by taking leverage of Coder-V2 model.
For Content Creators & Marketers
Content Creators can generate tons of blog posts and articles with the help of the DeepSeek V3 model. It provides search trends and suggest high-ranking keywords along with focused on user intent.
DeepSeek models analyze search trends and suggest high-ranking keywords along with user intent-focused content. It can suggest content ideas based on audience demographics.
For Students & Researchers
DeepSeek R1 summarizes dense and complex papers for students. It has 73.3% accuracy on Ph.D.-level questions and conversational abilities to ask follow-up questions, clarifying deep concepts.
It organises references and outlines for research papers, easing the writing process.
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I’m Ryker Alden, a writer, and contributor at DeepSeek Insider, where I craft queries, troubleshoot problems and create accessible tutorials. With a passion for artificial intelligence, machine learning, and large language models (LLMs), I focus on breaking down complex AI concepts into clear, simple language to engage and educate a broad audience.
