Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 1.2% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $1.94 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). 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 OpenAI's latest advancement in AI technology.
1 month newer
Gemma 3 4B
2025-03-12
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
Gemma 3 4B
GPT-4.1 mini
Context window and performance specifications
Average performance across 53 common benchmarks
Gemma 3 4B
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
GPT-4.1 mini
Gemma 3 4B
GPT-4.1 mini
Gemma 3 4B
GPT-4.1 mini
OpenAI
ZeroEval