DeepSeek v4

**DeepSeek-V4** technical release features a **1.6T-parameter MoE with 49B active parameters** and **1M-token context**, showcasing hybrid attention and compressed KV schemes for major memory reductions. It ranks as the **#2 open-weights reasoning model** behind **Kimi K2.6** but has a high hallucination rate and higher serving costs. Hardware-model co-design is emphasized, with **NVIDIA Blackwell Ultra** delivering **150+ TPS/user** and support for FP4 and FP8 quantization enabling deployment on single nodes. Positioning among open Chinese models is competitive with **GLM-5.1** and **Xiaomi MiMo V2.5 Pro**. Meanwhile, **OpenAI launched GPT-5.5 and GPT-5.5 Pro APIs** with a **1M context window**, focusing on improved long-running workflows and token efficiency, quickly integrated into tools like **GitHub Copilot** and **Cursor**. *"GPT-5.5 handles complex, tool-heavy, ambiguous workflows with fewer retries,"* highlighting rapid distribution and agent integration.