Deepseek Logo

DeepSeek-V3

Third generation foundation; 671B parameters (37B active); 128K context; major leap in capability and reasoning

Unveiled December 26, 2024, DeepSeek-V3 represented the most significant leap in DeepSeek's lineup, dramatically increasing scale to 671 billion total parameters (37 billion active) while maintaining efficiency through advanced MoE techniques. Trained on approximately 14.8 trillion tokens with sophisticated synthetic data integration, V3 achieved top-tier performance across benchmarks, outperforming many competing models including some closed-source systems. The model demonstrated exceptional performance in reasoning, coding, mathematics, and tool use. DeepSeek-V3 was released with open weights, maintaining the company's commitment to transparency and accessibility. This release established DeepSeek as a major player capable of competing with the largest models from leading AI research organizations.

Reviews

No Reviews Yet

Be the first to share your experience with this AI tool

More models from Deepseek

V3.1 refinement (September 2025); improved language consistency; enhanced agent performance; more stable outputs

Experimental model (September 29, 2025); DeepSeek Sparse Attention (DSA) mechanism; 50-75% lower inference costs; long-context optimization

Production release (December 1, 2025); 671B parameters; DeepSeek Sparse Attention; GPT-5-level reasoning; 128K context

Hybrid model (August 2025); 671B parameters; dual-mode (thinking + non-thinking); 128K context; enhanced tool calling

Extended reasoning variant (December 1, 2025); extreme thinking mode; 96% AIME score; gold IMO 2025; outperforms GPT-5-High

Specialized mathematics model; three variants (Base, Instruct, RL); optimized for STEM problem-solving

Second generation MoE model; 236B total parameters (21B active); 128K context window; 50% lower training cost

Advanced coding model; 236B parameters (21B active); 128K context; 338 programming languages; GPT-4-Turbo-level coding

Refinement of V2; improved training data; enhanced transformer architecture; increased computational power

First commercial-grade coding model; 1.3B-33B parameters; supports 80+ programming languages

General-purpose foundation model; 67B parameters; outperforms LLaMA-2-70B on reasoning and math

Mixture of Experts model; efficient inference; reduced memory and computational requirements