Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 5.0% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than Gemma 3 27B. Gemma 3 27B is $1.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 27B
2025-03-12
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
Gemma 3 27B
GPT-4.1 mini
Context window and performance specifications
Average performance across 53 common benchmarks
Gemma 3 27B
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
GPT-4.1 mini
Gemma 3 27B
GPT-4.1 mini
GPT-4.1 mini
OpenAI
ZeroEval