DeepSeek-V4-Flash is a next-generation open-source large language model developed by DeepSeek, designed for efficient reasoning, AI Agent workflows, and large-scale AI deployment.
Built on a Mixture-of-Experts (MoE) architecture, the model features approximately 284B total parameters with around 13B active parameters. Through sparse computation, DeepSeek-V4-Flash reduces inference costs while maintaining strong performance and efficiency.
The model supports up to a 1M-token context window, enabling it to process large documents, extensive codebases, complex knowledge analysis, and long-running Agent tasks.
Compared with traditional large-scale models, DeepSeek-V4-Flash focuses on speed, efficiency, and cost optimization, delivering faster responses and lower deployment costs while maintaining near flagship-level reasoning performance.
DeepSeek-V4-Flash supports both Thinking Mode and Non-Thinking Mode, allowing developers to balance deeper reasoning and faster responses depending on different application requirements.
The model is optimized for real-world applications including AI coding assistants, intelligent Agents, enterprise automation, knowledge management, code generation, and developer tools.
DeepSeek R2
92 Open-source specialized reasoning model, with MATH benchmark test scores comparable to GPT-4o, released under the MIT open-source license.
DeepSeek
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