Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 2.3% higher average benchmark score. Gemini 1.5 Flash offers 794.6K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $0.69 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.
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.
10 months newer
Gemini 1.5 Flash
2024-05-01
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemini 1.5 Flash
Gemma 3 4B
Context window and performance specifications
Average performance across 40 common benchmarks
Gemini 1.5 Flash
Gemma 3 4B
Gemini 1.5 Flash
2023-11-01
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemini 1.5 Flash
Gemma 3 4B
Gemini 1.5 Flash
Gemma 3 4B
Gemini 1.5 Flash
Gemma 3 4B
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