Comprehensive side-by-side LLM comparison
DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
Launched on the same date

DeepSeek R1 Zero
DeepSeek
2025-01-20

DeepSeek-R1
DeepSeek
2025-01-20
Context window and performance specifications
Available providers and their performance metrics

DeepSeek R1 Zero

DeepSeek-R1
DeepInfra

DeepSeek R1 Zero

DeepSeek-R1

DeepSeek R1 Zero

DeepSeek-R1
DeepSeek
Fireworks
Together
ZeroEval