Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 20.0% higher average benchmark score. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
26 days newer

DeepSeek-V3
DeepSeek
2024-12-25

DeepSeek R1 Zero
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek R1 Zero

DeepSeek-V3
Available providers and their performance metrics

DeepSeek R1 Zero

DeepSeek-V3
DeepSeek

DeepSeek R1 Zero

DeepSeek-V3

DeepSeek R1 Zero

DeepSeek-V3