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

Gemini 2.0 Flash-Lite
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
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-Lite
2025-02-05

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

Gemini 2.0 Flash-Lite

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

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed
Average performance across 5 common benchmarks

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

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

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed
Together

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed