Deepseek Logo

DeepSeek-R1

Specialized reasoning model; 671B parameters (37B active); chain-of-thought; competitive with advanced reasoning models

Launched in January 2025, DeepSeek-R1 introduced specialized reasoning capabilities using reinforcement learning (GRPO) to optimize step-by-step problem-solving. Built on the DeepSeek-V3 foundation with 671 billion total parameters and 37 billion active, R1 achieved performance comparable to advanced reasoning models from competitors while using significantly fewer computational resources. It excels at mathematics, formal logic, multi-step planning, and complex inference tasks through explicit chain-of-thought reasoning. DeepSeek-R1 quickly became one of the most popular open-source models, legitimizing DeepSeek as a credible alternative to proprietary models from OpenAI, Anthropic, and Google for reasoning-intensive applications.

Reviews

No Reviews Yet

Be the first to share your experience with this AI tool

More models from Deepseek

V3.1 refinement (September 2025); improved language consistency; enhanced agent performance; more stable outputs

Experimental model (September 29, 2025); DeepSeek Sparse Attention (DSA) mechanism; 50-75% lower inference costs; long-context optimization

Production release (December 1, 2025); 671B parameters; DeepSeek Sparse Attention; GPT-5-level reasoning; 128K context

Hybrid model (August 2025); 671B parameters; dual-mode (thinking + non-thinking); 128K context; enhanced tool calling

Extended reasoning variant (December 1, 2025); extreme thinking mode; 96% AIME score; gold IMO 2025; outperforms GPT-5-High

Specialized mathematics model; three variants (Base, Instruct, RL); optimized for STEM problem-solving

Second generation MoE model; 236B total parameters (21B active); 128K context window; 50% lower training cost

Advanced coding model; 236B parameters (21B active); 128K context; 338 programming languages; GPT-4-Turbo-level coding

Refinement of V2; improved training data; enhanced transformer architecture; increased computational power

First commercial-grade coding model; 1.3B-33B parameters; supports 80+ programming languages

General-purpose foundation model; 67B parameters; outperforms LLaMA-2-70B on reasoning and math

Mixture of Experts model; efficient inference; reduced memory and computational requirements