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 1B
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). 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 1B
2025-03-12

Gemini 2.5 Flash
2025-05-20
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Gemma 3 1B
Average performance across 4 common benchmarks

Gemini 2.5 Flash

Gemma 3 1B
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Gemma 3 1B
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Gemma 3 1B

Gemini 2.5 Flash

Gemma 3 1B