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

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3 4B
2025-03-12

Gemini 2.5 Flash-Lite
2025-06-17
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Gemma 3 4B
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Gemma 3 4B
Average performance across 5 common benchmarks

Gemini 2.5 Flash-Lite

Gemma 3 4B
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Gemma 3 4B
Gemma 3 4B
2024-08-01
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Gemma 3 4B
DeepInfra

Gemini 2.5 Flash-Lite

Gemma 3 4B