Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V2.5
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Gemma 2 9B
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%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 2 9B
2024-06-27
1 month newer
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Gemma 2 9B
Average performance across 4 common benchmarks
DeepSeek-V2.5
Gemma 2 9B
Performance comparison across key benchmark categories
DeepSeek-V2.5
Gemma 2 9B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek
Gemma 2 9B
DeepSeek-V2.5
Gemma 2 9B