DeepSeek V3: Advanced AI Language Model with 671B Parameters
Experience the next generation of language models with groundbreaking efficiency in reasoning, coding, and mathematical computation
671B Parameters, Advanced Coding,Efficient Training
Discover the groundbreaking features of DeepSeek V3, a game-changer in AI. It has an advanced architecture and unmatched performance. DeepSeek V3 is redefining what AI can achieve.
| 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 | 88.0 |
| 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 |
1. Advanced MoE Architecture
DeepSeek V3 has a 671 billion parameter model. Only 37 billion parameters are activated per token. This ensures optimal efficiency through:
- Multi-head Latent Attention (MLA)
- Auxiliary-loss-free load balancing
- DeepSeekMoE architecture
- Multi-token prediction objective
This architecture delivers unmatched performance while maintaining resource efficiency.
2. State-of-the-Art Performance
DeepSeek V3 sets new benchmarks across multiple domains. It achieves exceptional results in:
- MMLU (87.1%)
- BBH (87.5%)
- Mathematical reasoning tasks
- Coding competitions
- Multilingual capabilities
- Complex reasoning tasks
Whether it’s advanced mathematical computations or multilingual problem-solving, DeepSeek V3 excels.
3. Efficient Training
DeepSeek V3’s training process is both groundbreaking and cost-effective:
- 2.788 million H800 GPU hours
- Development cost of just $5.5 million
- FP8 mixed precision training
- Optimized training framework
- Stable training process with no rollbacks
This efficiency ensures rapid development without compromising on quality.
4. Versatile Deployment
DeepSeek V3 supports flexible integration across multiple platforms, including:
- NVIDIA and AMD GPUs
- Huawei Ascend NPUs
- Cloud deployment
- Local inference
- Optimized serving options
Whether in the cloud or on-premises, DeepSeek V3 adapts seamlessly to your needs.
5. Advanced Coding Capabilities
DeepSeek V3 shines in programming tasks, offering:
- Multi-language support
- Code completion
- Bug detection
- Code optimization
From competitive coding to real-world development, DeepSeek V3 is a developer’s ultimate tool.
6. Enterprise-Ready Security
DeepSeek V3 is built with enterprise-grade security features, including:
- Access control
- Data encryption
- Audit logging
- Compliance readiness
Deploy DeepSeek V3 with confidence, knowing your data is secure.
7. Extensive Training Data
DeepSeek V3 is trained on 14.8 trillion diverse and high-quality tokens. This ensures it has broad knowledge and skills. Its training data comes from:
- Diverse sources
- Quality-filtered content
- Multiple domains
- Regular updates
This extensive training keeps DeepSeek V3 at the forefront of AI.
8. Innovation Leadership
DeepSeek V3 leads in AI innovation. It’s driven by:
- Research leadership
- Open collaboration
- Community-driven development
- Regular improvements
Using DeepSeek V3 means you’re helping shape AI’s future.
DeepSeek V3 in the Media
DeepSeek V3 is making waves for its breakthrough performance and massive scale:
- Outperforms open and closed AI models in coding contests, like Codeforces contests and Aider Polyglot tests.
- It has 671 billion parameters and was trained on 14.8 trillion tokens. It’s 1.6 times larger than Meta’s Llama 3.1 405B.
- It was developed in just two months using Nvidia H800 GPUs. The cost was $5.5 million.
DeepSeek V3 is more than an AI model. It’s a major step forward in technology, performance, and innovation. It’s a valuable partner for developers, researchers, and enterprises looking to unlock AI’s full potential.