Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 31.6% higher average benchmark score. GPT-5 nano is available on 2 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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-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 E2B 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 E2B Instructed LiteRT (Preview)
GPT-5 nano
GPT-5 nano
2024-05-30
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-5 nano
OpenAI
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-5 nano
Gemma 3n E2B Instructed LiteRT (Preview)
GPT-5 nano
ZeroEval