Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 2.4% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than Gemma 3n E4B Instructed. GPT-4.1 nano is $59.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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 OpenAI's latest advancement in AI technology.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
GPT-4.1 nano
Context window and performance specifications
Average performance across 41 common benchmarks
Gemma 3n E4B Instructed
GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
GPT-4.1 nano
Gemma 3n E4B Instructed
GPT-4.1 nano
Gemma 3n E4B Instructed
GPT-4.1 nano
OpenAI