Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 17.4% higher average benchmark score. Gemini 1.5 Flash 8B offers 794.6K more tokens in context window than Gemma 3 4B. Both models have similar pricing. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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.
12 months newer
Gemini 1.5 Flash 8B
2024-03-15
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemini 1.5 Flash 8B
Gemma 3 4B
Context window and performance specifications
Average performance across 34 common benchmarks
Gemini 1.5 Flash 8B
Gemma 3 4B
Gemma 3 4B
2024-08-01
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
Gemini 1.5 Flash 8B
Gemma 3 4B
Gemini 1.5 Flash 8B
Gemma 3 4B
Gemini 1.5 Flash 8B
Gemma 3 4B
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