Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 5.1% higher average benchmark score. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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 E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. 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 E2B
2025-06-26
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 2.0 Flash-Lite
Gemma 3n E2B
Gemini 2.0 Flash-Lite
2024-06-01
Gemma 3n E2B
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Gemma 3n E2B
Gemini 2.0 Flash-Lite
Gemma 3n E2B
Gemini 2.0 Flash-Lite
Gemma 3n E2B