Comprehensive side-by-side LLM comparison
. 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.
Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
6 months newer

Gemma 2 9B
2024-06-27

DeepSeek R1 Zero
DeepSeek
2025-01-20
Available providers and their performance metrics

DeepSeek R1 Zero

Gemma 2 9B

DeepSeek R1 Zero

Gemma 2 9B