DeepSeek, a Chinese artificial intelligence startup, has introduced its latest language model series, with the V4-Pro model leading the pack as a strong competitor to established systems like Claude and ChatGPT. The model boasts 1.6 trillion parameters but activates only 49 billion at a time, setting a new standard among open-source AI platforms.
DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.
— DeepSeek (@deepseek_ai) April 24, 2026
🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params.
Innovative Architecture
The new models utilize a "Mixture of Experts" (MoE) framework, activating only relevant subnetworks for each token processed, which enhances efficiency compared to traditional architectures. This design allows for superior performance while minimizing costs. Pre-training involved over 32 trillion tokens, with fine-tuning across various competencies like coding and mathematics.
Cost-Effective Long Context Processing
A standout feature of the V4 series is its capability to handle long context sequences affordably. While other models offer a similar 1 million token context, DeepSeek’s approach requires significantly less computational power. For instance, V4-Pro operates with just 27% of the resources needed by its predecessor, V3.2, when addressing maximum context lengths.




