What is DeepSeek? The open-source artificial intelligence that is redefining 2025

Introduction: The Open AI Revolution

In recent years, the field of natural language artificial intelligence has experienced an explosion of proposals. With the arrival of DeepSeek, that explosion took on a new dimension: a large-scale, open-source, and completely free model capable of competing with the industry's heavyweights. In this extensive and detailed guide, you'll find all the information you need to understand its evolution, master its use, and compare it with ChatGPT, take advantage of its Spanish support and download it on any device.

Origins and evolution of DeepSeek

DeepSeek was born in late 2022 as a research project at a prestigious Chinese university. Its founding team, made up of experts in machine learning and computational linguistics, set two major goals:

• democratize access to advanced language models
• foster global collaboration through open source

Successive versions were released throughout 2023 and 2024, each adding performance optimizations and expanding the context window. In 2025, DeepSeek cemented its place in the AI ecosystem as a real alternative for developers, researchers, and businesses.

Release timeline:

• v1.0 (January 2023): initial model of 7 M parameters
• v2.0 (June 2023): Improvements in coherence and understanding of long texts
• v3.0 (January 2024): Multitasking and jumping up to 128 context tokens
• R1.0 (April 2024): specialized version for logical and mathematical reasoning

DeepSeek Technical Architecture

Models and parameters

DeepSeek offers several configurations to suit different needs:

• DeepSeek V2: 13M parameters, balancing speed and accuracy
• DeepSeek V3: 26M parameters, multitasking, and fluid text generation
• DeepSeek R1: 8M parameters, optimized for reasoning and problem solving

Mixture of Experts (MoE)

The key to DeepSeek's efficiency is its Mixture of Experts architecture. Instead of activating the entire network for each query, MoE selects a subset of "experts" (small networks) to process the request. This reduces resource consumption and speeds up responses without sacrificing quality.

Extended context window

One of the great advantages of DeepSeek V3 is its context window of up to 128 tokens, ideal for:

• analyze entire books
• process long dialogues
• write complex technical documents

Training and fine-tuning

Pre-training was performed on multilingual and diverse subject corpora. Subsequent rounds of fine-tuning were performed with data specific to programming, science, and literature, achieving remarkable versatility.

How to Use DeepSeek: Complete Guide

1. Official web version

1. Visit chat.deepseek.com
2. If you wish, create a free account to save your history.
3. Select the model (V3 or R1) according to the task
4. Type your prompt in the text box
5. Adjust temperature and response length parameters
6. Click “Send” and receive the response in seconds

Additional functions:

• Integrated search mode
• Automatic session saving
• Preconfigured prompt templates

2. Mobile application

You can download DeepSeek on your smartphone:

• Android: Google Play – DeepSeek Chat
• iOS: App Store – DeepSeek Chat

Advantages of the app:

• Voice recognition for dictating input
• Offline mode with light models
• Smart reply notifications

3. Local installation on PC

Ideal for those who need maximum privacy or customization. Minimum requirements:

• 4-core CPU
• 16 GB of RAM
• 10 GB free storage

Basic steps using Don't:

bash

# Instala Ollama (Windows/macOS/Linux)
curl https://ollama.com/install | bash

# Descarga el modelo DeepSeek R1 de 8 000 M parámetros
ollama pull deepseek/r1:8b

# Ejecuta el modelo localmente
ollama run deepseek/r1:8b

With LM Studio (graphical interface):

1. Download LM Studio from its GitHub repository
2. Import the model file
3. Configure the available resources
4. Press “Start” and start chatting

4. Integration via API

DeepSeek offers a REST endpoint to integrate AI into your applications:

http

POST https://api.deepseek.com/v1/chat
Content-Type: application/json
Authorization: Bearer TU_TOKEN

{
  "model": "v3",
  "messages": [
    {"role": "user", "content": "Explícame la teoría de la relatividad en 3 párrafos"}
  ],
  "max_tokens": 500,
  "temperature": 0.7
}

• Estimated cost: $0.14 per million tokens
• Free limit: 100 tokens per month

DeepSeek in Spanish

DeepSeek understands and generates Spanish naturally. You don't need to specify the language: just type in Spanish and you'll receive the response in the same language.

Advantages for Spanish speakers:

• Recognize regional idioms and expressions
• High-fidelity automatic translations between Spanish and English
• Educational resources adapted to Spanish and Latin American curricula

Communities and resources:

• Official DeepSeek Forum in Spanish
• Discord and Telegram channels with thousands of users
• GitHub repositories with Spanish prompt examples

Comparison: DeepSeek vs ChatGPT

Feature	DeepSeek	ChatGPT (GPT-4o)
License	Open source	Private
Price	Free / Low-cost API	Freemium (limited) / $20 monthly
Multimodality	Text only	Text, image, voice and video
Local installation	Yes	No
Context window	Up to 128 tokens	Up to 32 tokens
Languages	+20	+30
Main architecture	MoE	Standard transformer with sparsity
Featured Use Cases	Programming, reasoning, long analysis	Creativity, personal assistants

Performance analysis

While ChatGPT can generate images and audio, DeepSeek excels at extensive text analysis tasks and technical projects where cost and privacy are critical.

Which to choose?

• For developers and large-scale projects: DeepSeek
• For multimedia content creators and general users: ChatGPT

How to download DeepSeek step by step

On mobile devices

• Open Google Play or App Store
• Search “DeepSeek Chat”
• Click on “Install”
• Log in or use as a guest

On PC (Windows/macOS/Linux)

1. Download Ollama at ollama.com
2. Install according to your operating system
3. Open Terminal or PowerShell
4. Run the pull and run commands (see local installation section)

You can also use Docker:

bash

docker pull deepseek/r1:8b
docker run -it --gpus all deepseek/r1:8b

Good practices and considerations

• Use lightweight models for rapid testing and large models for production
• Adjust the temperature according to the desired creativity (0.2–0.5 for precise responses)
• Respect data privacy if you work with sensitive information
• Contribute by reporting bugs or improving examples on GitHub

FAQs

1. Is DeepSeek completely free? DeepSeek is open source and free, but the API has a nominal token fee.
2. Can I use it in commercial projects? Yes, its MIT license allows unrestricted commercial use.
3. What's the difference between V3 and R1? V3 is geared toward multitasking text generation; R1 specializes in reasoning and mathematics.
4. How do I optimize response speed? Use versions with fewer parameters or accelerate with dedicated GPUs.

Conclusion

DeepSeek represents a milestone in the democratization of AI. Its open-source model, reasoning capabilities, and extended context window make it the perfect partner for developers, researchers, and content creators. If you haven't tried it yet, now's the time to incorporate it into your projects.

Beyond DeepSeek: Where to Look

If you're intrigued by the world of open source LLMs, you might want to explore:

• OrientML: specialized models for computer vision
• StarCoder: AI focused on code generation
• Falcon and LLaMA 3: alternatives with different balances of performance and efficiency

You may also be interested in learning about prompt engineering and model customization through fine-tuning and embedding techniques.