Deepseek V3 is an LLM that employs a Mixture-of-Experts (MoE) architecture. It excels in handling extremely long input sequences—up to 128,000 tokens—while delivering efficient inference and strong performance across diverse domains, including complex reasoning, mathematics, and code generation.

Some other noteworthy features of Deepseek V3 include its comprehensive knowledge due to pre-training on 14.8 trillion high-quality tokens and enhanced inference speed, partly enabled by advanced Multi-Token Prediction techniques.

Metric	Value
Parameter Count	671 billion
Mixture of Experts	Yes
Active Parameter Count	37 billion
Context Length	128,000 tokens
Multilingual	Yes
Quantized*	No

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.