DeepSeek
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🎉 DeepSeek-R1 is now live and open source, rivaling OpenAI's Model o1. Available on web, app, and API.

DeepSeek-V3 Capabilities

DeepSeek-V3 sets a new benchmark with its impressive inference speed, surpassing earlier models. It leads the charts among open-source models and competes closely with the best closed-source models worldwide.

DeepSeek pressure test

Benchmark (Metric) DeepSeek V3 DeepSeek V2.5 Qwen2.5 Llama3.1 Claude-3.5 GPT-4o
Architecture MoE MoE Dense Dense - -
# Activated Params 37B 21B 72B 405B - -
# Total Params 671B 236B 72B 405B - -
English MMLU (EM) 88.5 80.6 85.3 88.6 88.3 87.2
MMLU-Redux (EM) 89.1 80.3 85.6 86.2 88.9 88
MMLU-Pro (EM) 75.9 66.2 71.6 73.3 78.0 72.6
DROP (3-shot F1) 91.6 87.8 76.7 88.7 88.3 83.7
IF-Eval (Prompt Strict) 86.1 80.6 84.1 86.0 86.5 84.3
GPQA-Diamond (Pass@1) 59.1 41.3 49.0 51.1 65.0 49.9
SimpleQA (Correct) 24.9 10.2 9.1 17.1 28.4 38.2
FRAMES (Acc.) 73.3 65.4 69.8 70.0 72.5 80.5
LongBench v2 (Acc.) 48.7 35.4 39.4 36.1 41.0 48.1
Code HumanEval-Mul (Pass@1) 82.6 77.4 77.3 77.2 81.7 80.5
LiveCodeBench (Pass@1-COT) 40.5 29.2 31.1 28.4 36.3 33.4
Codeforces (Percentile) 51.6 35.6 24.8 25.3 20.3 34.2
SWE Verified (Resolved) 42.0 22.6 23.8 24.5 50.8 38.8
Aider-Edit (Acc.) 79.7 71.6 65.4 63.9 84.2 72.9
Aider-Polyglot (Acc.) 49.6 18.2 7.6 5.8 45.3 16
Math AIME 2024 (Pass@1) 39.2 16.7 23.3 23.3 16.0 9.3
MATH-500 (EM) 90.2 74.7 80.0 73.8 78.3 74.6
CNMO 2024 (Pass@1) 43.2 10.8 15.9 6.8 13.1 10.8
Chinese CLUEWSC (EM) 90.9 90.4 91.4 84.7 85.4 87.9
C-Eval (EM) 86.5 79.5 86.1 61.5 76.7 76
C-SimpleQA (Correct) 64.1 54.1 48.4 50.4 51.3 59.3



DeepSeek pressure test

Deepseek Advanced MoE Architecture

Advanced MoE Architecture

  • 671 billion parameters with only 37 billion activated per token for maximum efficiency
  • Innovative load-balancing mechanism without auxiliary losses
  • Multi-Head Latent Attention (MLA) for enhanced contextual understanding
  • Optimized multi-token prediction objective for superior performance
Deepseek State-of-the-Art Performance

State-of-the-Art Performance

  • Achieved 87.1% on MMLU and 87.5% on BBH
  • Excels in mathematical reasoning tasks
  • Top-tier results in coding competitions
  • Strong multilingual proficiency
  • Expertise in complex reasoning tasks
Deepseek efficient training

Efficient Training

  • Completed in just 2.788 million H800 GPU hours
  • Achieved exceptional cost efficiency at $5.5 million
  • Utilizes FP8 mixed precision training for enhanced performance
  • Highly stable framework with no rollbacks required
Deepseek versatile deployment

Versatile Deployment

  • Compatible with NVIDIA and AMD GPUs, as well as Huawei Ascend NPUs
  • Supports both cloud-based and local inference
  • Seamless integration across multiple hardware platforms
  • Efficient and scalable serving options
Deepseek advanced coding capabilities

Advanced Coding Capabilities

  • Excels in competitive coding and real-world development tasks
  • Supports multiple programming languages
  • Intelligent code completion for faster development
  • Effective bug detection to enhance reliability
  • Optimized code generation for improved efficiency
Deepseek Enterprise-Ready Security

Enterprise-Ready Security

  • Designed for secure enterprise deployment and seamless integration
  • Advanced access control to manage permissions
  • Data encryption ensures confidentiality and integrity
  • Comprehensive audit logging for tracking activities
  • Fully compliant with industry standards
Deepseek Extensive Training Data

Extensive Training Data

  • Trained on 14.8 trillion high-quality and diverse tokens
  • Covers multiple domains for comprehensive understanding
  • Sourced from diverse, quality-filtered content
  • Regular updates to enhance accuracy and relevance
Deepseek Innovation Leadership

Innovation Leadership

  • Leading advancements through research and technological breakthroughs
  • Committed to open collaboration for collective growth
  • Actively driven by a global AI community
  • Regular improvements ensure continuous evolution
Deepseek capabilities

Capabilities

  • Support for 100+ programming languages
  • Context window of 128K tokens
  • Multi-step planning and execution
  • Advanced natural language understanding

Learn More About DeepSeek

Is DeepSeek chat free to use?

Yes, DeepSeek chat V3 and R1 are free to use. You can use it on your iOS, Android smartphone, Mac, laptop and PC.

Is DeepSeek coder free?

Yes, it is fee to use. DeepSeek V3 sets a new standard in performance among open-code models. It is fully open-source and available at no cost for both research and commercial use, making advanced AI more accessible to a wider audience.

Why I can't login DeepSeek?

The "DeepSeek AI Assistant Not Working" error typically stems from a mix of server outages and recent malicious attacks affecting the service. Many users have encountered login difficulties or issues when attempting to create new accounts, as the platform has restricted new registrations to mitigate these challenges.

Where are the DeepSeek servers located?

DeepSeek app servers are located and operated from China.

What makes DeepSeek V3 unique?

DeepSeek V3 is built on a 671B parameter MoE architecture, integrating advanced innovations such as multi-token prediction and auxiliary-free load balancing. These enhancements enable it to achieve outstanding efficiency and accuracy across a wide range of tasks, setting a new benchmark in performance.

How can I access DeepSeek V3?

DeepSeek V3 is available through an online demo platform and API service, providing seamless access for various applications. Additionally, users can download the model weights for local deployment, ensuring flexibility and control over its implementation.

How does DeepSeek V3 compare to other language models?

DeepSeek V3 surpasses other open-source models across multiple benchmarks, delivering performance on par with top-tier closed-source models.

Which deployment frameworks does DeepSeek V3 support?

DeepSeek V3 is compatible with multiple deployment frameworks, including SGLang, LMDeploy, TensorRT-LLM, and vLLM. It also supports FP8 and BF16 inference modes, ensuring flexibility and efficiency in various applications.

How was DeepSeek v3 trained?

DeepSeek V3 was pre-trained on 14.8 trillion diverse, high-quality tokens, ensuring a strong foundation for its capabilities. It then underwent Supervised Fine-Tuning and Reinforcement Learning to further enhance its performance. The entire training process remained remarkably stable, with no irrecoverable loss spikes.

What makes DeepSeek v3's training efficient?

DeepSeek V3 leverages FP8 mixed precision training and optimizes cross-node MoE training through a co-design approach that integrates algorithms, frameworks, and hardware. This efficiency allows it to complete pre-training in just 2.788 million H800 GPU hours.

Is DeepSeek better or ChatGPT?

DeepSeek excels in rapid code generation and technical tasks, delivering faster response times for structured queries. In contrast, ChatGPT provides more in-depth explanations and superior documentation, making it a better choice for learning and complex implementations.