Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 37.4% higher average benchmark score. GPT-5 nano is available on 2 providers. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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.
2 months newer
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
GPT-5 nano
OpenAI
2025-08-07
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
GPT-5 nano
GPT-5 nano
2024-05-30
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
GPT-5 nano
OpenAI
Gemma 3n E4B Instructed LiteRT Preview
GPT-5 nano
Gemma 3n E4B Instructed LiteRT Preview
GPT-5 nano
ZeroEval