Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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 32B
DeepSeek
2025-01-20
Context window and performance specifications
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Gemma 2 9B

DeepSeek R1 Distill Qwen 32B

Gemma 2 9B

DeepSeek R1 Distill Qwen 32B

Gemma 2 9B