Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 7.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 40 common benchmarks
DeepSeek-V3.1
Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Gemma 3n E2B Instructed LiteRT (Preview)
DeepSeek-V3.1
Gemma 3n E2B Instructed LiteRT (Preview)
DeepSeek-V3.1
Gemma 3n E2B Instructed LiteRT (Preview)