LLMs: Large Language Models
DeepSeek: Models, Features, and Pricing
Strategy, advanced reasoning models, and the low-cost open-source revolution
The Open-Source Revolution and Extreme Efficiency
DeepSeek has transformed the global AI landscape, proving that frontier reasoning power does not require astronomical budgets.
DeepSeek, driven by the quantitative hedge fund High-Flyer under the leadership of Liang Wenfeng, has disrupted the global tech industry with a revolutionary proposition: open-weights models engineered with unprecedented compute efficiency that compete directly with frontier proprietary systems from OpenAI and Google.
With the release of DeepSeek-R1, the company democratized step-by-step reasoning (Chain of Thought), delivering performance rivaling OpenAI o1 at a fraction of the training cost. Its Mixture of Experts (MoE) architecture and Multi-head Latent Attention (MLA) have redefined language model engineering worldwide.
Beyond its free web platform and mobile apps, DeepSeek enables the download and private local execution of its weights, alongside enterprise API access at disruptive pricing—eliminating entry barriers for startups, universities, and independent developers.
Models
Latest DeepSeek Models
Discover the family of open-weights reasoning, coding, and vision models developed by DeepSeek
Maximize Your Value with DeepSeek
Key Capabilities
Native tools and architectural advantages designed to scale your productivity and technical analysis
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Live Web Search
Real-time web retrieval to enrich answers with current news, verified sources, and live citations.
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File Upload & Document Analysis
Upload PDFs, spreadsheets, source code, and images to provide DeepSeek with rich contextual data for synthesis.
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Deep Reasoning (R1)
Transparent Chain-of-Thought reasoning detailing every intermediate deduction step before delivering the final answer.
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Private Local Execution
Deploy and run DeepSeek on your local workstation with Ollama or LM Studio for 100% offline privacy.
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Disruptive API Pricing
Inference rates up to 27x lower than OpenAI or Anthropic, making high-throughput agent workflows cost-effective.
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Open Source & Open Weights
Available under permissive licenses on HuggingFace and GitHub for training, fine-tuning, and research.
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Advanced MoE Architecture
Activates only 37B parameters per token out of 671B total, minimizing compute overhead without sacrificing quality.
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Vision & Visual Generation
Understands complex diagrams and generates artistic imagery within a single neural framework via Janus-Pro.
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DeepSeek Mobile App
Instant, zero-cost access to V3 and R1 directly from your Android or iOS smartphone.
Advanced Reasoning
DeepSeek-R1: Open-Source Frontier Reasoning
DeepSeek-R1 marks a milestone in artificial intelligence by delivering a pure reasoning model that rivals proprietary frontier systems like OpenAI o1. Through large-scale reinforcement learning without massive supervised fine-tuning, R1 solves complex mathematical and programming problems with complete reasoning transparency.
Privacy & Sovereign AI
Local Execution: Sovereign AI on Your Own PC
Unlike closed cloud models, DeepSeek’s distilled models (1.5B, 7B, 8B, 14B, 32B, and 70B) allow you to run mathematical and coding reasoning locally with tools like Ollama—ensuring zero data leaves your premises.
Plans & Pricing
DeepSeek Pricing
100% free web and mobile access with developer API rates up to 27x more affordable than industry alternatives
Web & App Móvil
- Complimentary access to DeepSeek-V3 and DeepSeek-R1.
- Integrated real-time web search.
- Document, code, and file uploads with instant analysis.
- Generous message thresholds per conversation.
Developer API
- DeepSeek-V3: $0.14 prompt / $0.28 completion per million tokens.
- DeepSeek-R1: $0.55 prompt / $2.19 completion (up to 27x cheaper than o1).
- Native OpenAI SDK compatibility (drop-in replacement).
- Context caching support reducing repetitive token costs by an extra 90%.
Local Execution
- Free weight downloads on HuggingFace with open licensing.
- 100% offline deployment on your own workstations or private servers.
- Zero risk of leaking sensitive organizational data or proprietary code.
- Distilled models from 1.5B upwards runnable on consumer-grade hardware.
Context Caching API
- Instant prefix caching across extensive system prompts and documents.
- 90% cost reduction on high-frequency enterprise API traffic.
- Automatic zero-config caching handled transparently at the API layer.
On-Premise Deployment
- Enterprise private cluster deployments using vLLM or SGLang.
- Engineering support for model quantization and domain-specific fine-tuning.
- Full GDPR compliance and strict alignment with data sovereignty standards.
Key People
Pioneers Behind DeepSeek
The scientists and leaders driving the open-source AI revolution
Liang Wenfeng
Fundador de DeepSeek & High-Flyer
Mathematician and quantitative hedge fund executive who founded and funded DeepSeek with an open-source research philosophy.
Research Team
DeepSeek Research Scientists & Engineers
Talented research team who designed MoE and latent attention architectures that eclipsed Silicon Valley efficiency benchmarks.
Open Source Community
Global Developer Community
Thousands of open-source engineers who have adapted, quantized, and deployed R1 variants across local platforms worldwide.
Related Articles & Technical Guides
Continue exploring in-depth guides, analysis, and tutorials on DeepSeek and open AI
Why DeepSeek Outperforms ChatGPT: 6 Compelling Reasons
Performance evaluation, inference cost breakdown, and accessibility compared to OpenAI models.
How to Download and Run DeepSeek Locally
Step-by-step guide to hosting R1 and V3 on your local PC using Ollama and LM Studio.
DeepSeek R1: The Open-Source Challenger to OpenAI o1
Technical benchmark comparison across mathematics, logic reasoning, and inference architecture.
DeepSeek-V3: High-Efficiency General Intelligence
Everything you need to know about MoE architecture and extreme compute cost reduction.
DeepSeek Janus: Unified Multimodal Models
The visual architecture unifying deep multimodal understanding and image generation.
Is It Worth Building a Dedicated PC for Local AI?
Hardware breakdown: GPUs, unified RAM, and CPU requirements to run DeepSeek locally.
Web Search with DeepSeek: Pro Tips and Accuracy
How to leverage live web browsing to generate grounded, fact-checked responses.
The Best Alternatives to ChatGPT
Comprehensive ecosystem comparison: DeepSeek, Claude, Gemini, and open-source models.
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