DeepSeek v3 is a state-of-the-art open-source language model that has set new benchmarks across mathematics, coding, and multilingual tasks. With 671 billion total parameters — 37 billion activated per token — it uses a Mixture-of-Experts (MoE) architecture that delivers exceptional performance while maintaining efficient inference. Pre-trained on 14.8 trillion high-quality tokens, DeepSeek v3 supports a 128K context window and incorporates Multi-Token Prediction for enhanced speed and output quality. Available via API, an online demo, and supported by research papers, DeepSeek v3 gives developers and researchers access to frontier-level AI capabilities through an open model — a significant development in the landscape of accessible, high-performance language models.
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