Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 32.5% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
9 months newer
Gemma 2 9B
2024-06-27
DeepSeek-V3 0324
DeepSeek
2025-03-25
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek-V3 0324
Gemma 2 9B
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Gemma 2 9B
DeepSeek-V3 0324
Gemma 2 9B
DeepSeek-V3 0324
Gemma 2 9B