- Massive scale: 671B total MoE parameters, activating only 37B for efficient computation.
- Training data: 14.8T high-quality tokens, enabling strong performance in reasoning, coding, and general tasks.
- Inference speed: 60 tokens/second, a 3x improvement over DeepSeek-V2.
- Open-source: Full model weights, code, and research papers available on GitHub (https://github.com/deepseek-ai/DeepSeek-V3).
- Backward compatibility: Seamless integration with existing DeepSeek API setups.
- Future roadmap: Plans for multimodal capabilities and further enhancements.
![DeepSeek V3 AI Model]()
DeepSeek V3 AI Model
Introduction: DeepSeek-V3 is DeepSeek's latest open-source large language model, featuring a 671B Mixture of Experts (MoE) architecture with 37B activated parameters.
Last Updated: 2025/12/08
DeepSeek V3 AI Model - Summary
DeepSeek-V3 is DeepSeek's latest open-source large language model, featuring a 671B Mixture of Experts (MoE) architecture with 37B activated parameters. Trained on 14.8T high-quality tokens, it delivers 3x faster inference than V2 (up to 60 tokens/second) while maintaining full API compatibility, advancing toward inclusive AGI with enhanced reasoning and efficiency.
DeepSeek V3 AI Model - Features
DeepSeek V3 AI Model - Frequently Asked Questions
- No Explicit Issues Listed: The announcement does not detail common problems, but based on similar MoE models:
- High Resource Demands for Local Runs: Requires substantial GPU memory (e.g., multiple A100s for full model); solution: Use quantized versions from the GitHub repo or stick to API for smaller setups.
- Cache Miss Latency: Initial inputs without cache can be slower; solution: Enable caching in API calls for repeated queries to hit the $0.07/M rate.
- Pricing Transition: Rates change on Feb 8, 2025—monitor billing to avoid surprises; solution: Use the free tier for testing or budget via the dashboard.
- Limited Multimodality: Currently text-only (vision/audio planned); solution: Combine with external tools for hybrid workflows.
- Hallucinations in Edge Cases: Possible in complex reasoning; solution: Apply chain-of-thought prompting or verify outputs with external checks.
DeepSeek V3 AI Model - Company Information
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DeepSeek V3 AI Model - Product Links
DeepSeek V3 AI Model - Open Source
DeepSeek V3 AI Model - Data Analysis
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