Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 4.1% higher average benchmark score. Gemini 2.0 Flash offers 992.8K more tokens in context window than Gemma 3n E4B Instructed. Gemini 2.0 Flash is $59.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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.
6 months newer
Gemini 2.0 Flash
2024-12-01
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemini 2.0 Flash
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.0 Flash
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Gemma 3n E4B Instructed
Gemini 2.0 Flash
Gemma 3n E4B Instructed
Gemini 2.0 Flash
Gemma 3n E4B Instructed
Together