Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3 0324
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%). Released in 2025, 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-V3 0324
DeepSeek
2025-03-25

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
1 month newer
Average performance across 3 common benchmarks

DeepSeek-V3 0324

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

DeepSeek-V3 0324

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-V3 0324

Gemma 3n E2B Instructed LiteRT (Preview)

DeepSeek-V3 0324

Gemma 3n E2B Instructed LiteRT (Preview)