Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 14.2% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 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 Preview 06-05
2025-06-05
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
Gemma 3 4B
Context window and performance specifications
Average performance across 34 common benchmarks
Gemini 2.5 Pro Preview 06-05
Gemma 3 4B
Gemma 3 4B
2024-08-01
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Gemma 3 4B
Gemini 2.5 Pro Preview 06-05
Gemma 3 4B
Gemini 2.5 Pro Preview 06-05
Gemma 3 4B
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