Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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 Distill Qwen 14B
DeepSeek
2025-01-20
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

Gemma 2 9B

DeepSeek R1 Distill Qwen 14B

Gemma 2 9B