Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 3.9% higher average benchmark score. GPT-4.1 mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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
GPT-4.1 mini
OpenAI
2025-04-14
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 54 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-4.1 mini
OpenAI
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-4.1 mini
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-4.1 mini
ZeroEval