DeepSeek V3

DeepSeek V3 is an open-weight model built on a Mixture of Experts (MoE) architecture, allowing it to achieve high performance while maintaining computational efficiency during inference. The updated version V3-0324 scores 81.2% on MMLU-Pro, 68.4% on GPQA, 59.4% on AIME, and 49.2% on LiveCodeBench, demonstrating strong performance across reasoning, science, mathematics, and coding benchmarks.

The model ranks 5th on the LMArena leaderboard, a competitive ranking among both open and closed models based on human evaluations. This placement demonstrates that DeepSeek V3 competes effectively with many proprietary models while being freely available for research and commercial use.

DeepSeek V3's combination of MoE architecture, strong benchmark performance, and open-weight availability makes it highly attractive for cost-conscious deployments and for researchers who need access to model internals. Its success in both reasoning and coding tasks, coupled with cost efficiency, has made it a popular choice for self-hosted deployments and as a base model for fine-tuning specialized applications.