Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 8.0% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
4 months newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3n E2B Instructed LiteRT (Preview)
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed LiteRT (Preview)
DeepSeek-V3.2-Exp
Gemma 3n E2B Instructed LiteRT (Preview)