Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 21.7% higher average benchmark score. GPT-5 mini offers 464.0K more tokens in context window than Gemma 3n E4B Instructed. GPT-5 mini is $57.75 cheaper per million tokens. Overall, Gemma 3n E4B Instructed is the stronger choice for coding tasks.
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-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
Gemma 3n E4B Instructed
2025-06-26
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
Gemma 3n E4B Instructed
GPT-5 mini
Context window and performance specifications
Average performance across 21 common benchmarks
Gemma 3n E4B Instructed
GPT-5 mini
GPT-5 mini
2024-05-30
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
GPT-5 mini
Gemma 3n E4B Instructed
GPT-5 mini
Gemma 3n E4B Instructed
GPT-5 mini
OpenAI
ZeroEval