Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.0 Flash-Lite offers 992.8K more tokens in context window than Gemma 3n E4B Instructed. Gemini 2.0 Flash-Lite is $59.63 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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.
4 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 26 common benchmarks
Gemini 2.0 Flash-Lite
Gemma 3n E4B Instructed
Gemini 2.0 Flash-Lite
2024-06-01
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Gemma 3n E4B Instructed
Gemini 2.0 Flash-Lite
Gemma 3n E4B Instructed
Gemini 2.0 Flash-Lite
Gemma 3n E4B Instructed
Together