Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.0 Flash
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
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.

Gemini 2.0 Flash
2024-12-01

Gemma 3n E4B Instructed
2025-06-26
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash

Gemma 3n E4B Instructed
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash

Gemma 3n E4B Instructed
Average performance across 4 common benchmarks

Gemini 2.0 Flash

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

Gemini 2.0 Flash

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Gemini 2.0 Flash
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash

Gemma 3n E4B Instructed
Together

Gemini 2.0 Flash

Gemma 3n E4B Instructed