Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 6.8% higher average benchmark score. Gemini 2.5 Pro offers 852.0K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $11.19 cheaper per million tokens. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). 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 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.
2 months newer
Gemma 3 4B
2025-03-12
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Gemma 3 4B
Context window and performance specifications
Average performance across 39 common benchmarks
Gemini 2.5 Pro
Gemma 3 4B
Gemma 3 4B
2024-08-01
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Gemma 3 4B
Gemini 2.5 Pro
Gemma 3 4B
Gemma 3 4B
DeepInfra