DeepSeek V4
Major architecture upgrade with enhanced MoE design, 1M context window, and native multimodal support.
Open source AI with industry-leading cost efficiency. Latest: V4 Pro
DeepSeek's latest flagship model (2026). Massive MoE architecture with cutting-edge reasoning and coding at dramatically lower cost than competitors.
Improved V3 with enhanced multilingual performance and reasoning. 685B MoE architecture with 37B active parameters.
DeepSeek's advanced reasoning model using chain-of-thought. Matches o1-level performance at a fraction of the cost. Open model available.
Specialized code model with 236B parameters (21B active MoE). Supports 338 programming languages. Fill-in-the-middle capability.
Advanced chain-of-thought reasoning model. Matches OpenAI o1 at much lower cost. Open source, can be deployed locally.
Visit the official API documentation to get started with this tool.
DeepSeek's latest flagship model (2026). Massive MoE architecture with cutting-edge reasoning and coding at dramatically lower cost than competitors.
Improved V3 with enhanced multilingual performance and reasoning. 685B MoE architecture with 37B active parameters.
DeepSeek's advanced reasoning model using chain-of-thought. Matches o1-level performance at a fraction of the cost. Open model available.
Specialized code model with 236B parameters (21B active MoE). Supports 338 programming languages. Fill-in-the-middle capability.
Advanced chain-of-thought reasoning model. Matches OpenAI o1 at much lower cost. Open source, can be deployed locally.
Visit the official API documentation to get started with this tool.
Major architecture upgrade with enhanced MoE design, 1M context window, and native multimodal support.
Launched R1 reasoning model with chain-of-thought capabilities, rivaling OpenAI's o1 at significantly lower cost.
DeepSeek released open-source coding models that rivaled GPT-4 on coding benchmarks, gaining rapid attention.
Next-gen reasoning model with improved mathematical reasoning, coding, and multimodal understanding.
Released DeepSeek V2 with Mixture-of-Experts architecture, achieving GPT-4 class performance at fraction of cost.
Released R3 with agentic capabilities, enterprise deployment suite, and custom model fine-tuning platform.
Released V3 with 671B total parameters (37B activated), surpassing GPT-4 on multiple benchmarks.
Launched general-purpose LLM with 67B parameters, demonstrating strong performance at very low cost.