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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
2025-05-20
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

Gemma 3 4B
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Gemma 3 4B
Average performance across 4 common benchmarks

Gemini 2.5 Flash

Gemma 3 4B
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Gemma 3 4B
Gemma 3 4B
2024-08-01
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Gemma 3 4B
DeepInfra

Gemini 2.5 Flash

Gemma 3 4B