We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting a context length of one million tokens.
DeepSeek-V4 series incorporate several key upgrades in architecture and optimization:
1. Hybrid Attention Architecture: We design a hybrid attention mechanism combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to dramatically improve long-context efficiency. In the 1M-token context setting, DeepSeek-V4-Pro requires only 27% of single-token inference FLOPs and 10% of KV cache compared with DeepSeek-V3.2. 2. Manifold-Constrained Hyper-Connections (mHC): We incorporate mHC to strengthen conventional residual connections, enhancing stability of signal propagation across layer…
@cf/deepseek-ai/deepseek-v4-pro-0813Семейство: deepseek-thinkingКонтекст (макс.): 1,05 млн токеновВвод: текст; вывод: текстВозможности: рассуждение, инструменты, структурированный выводПоставщики: Cloudflare Workers AI
Источник каталога: https://models.dev/api.json. Получено: 01.11.2026 02:00 UTC. Цены и лимиты — данные источника; перед использованием проверяйте условия поставщика.