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 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3n E2B Instructed
2025-06-26
1 year newer
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Gemma 3n E2B Instructed
Average performance across 2 common benchmarks
DeepSeek-V2.5
Gemma 3n E2B Instructed
Performance comparison across key benchmark categories
DeepSeek-V2.5
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek
Gemma 3n E2B Instructed
DeepSeek-V2.5
Gemma 3n E2B Instructed