Comprehensive side-by-side LLM comparison
o3-mini leads with 4.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. o3-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
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
o3-mini
OpenAI
2025-01-30
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 51 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
o3-mini
o3-mini
2023-09-30
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
o3-mini
Azure
Gemma 3n E2B Instructed LiteRT (Preview)
o3-mini
Gemma 3n E2B Instructed LiteRT (Preview)
o3-mini
OpenAI