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 LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek-V2.5
DeepSeek
2024-05-08

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
1 year newer
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Gemma 3n E2B Instructed LiteRT (Preview)
Average performance across 2 common benchmarks

DeepSeek-V2.5

Gemma 3n E2B Instructed LiteRT (Preview)
Performance comparison across key benchmark categories

DeepSeek-V2.5

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Gemma 3n E2B Instructed LiteRT (Preview)

DeepSeek-V2.5

Gemma 3n E2B Instructed LiteRT (Preview)