Comprehensive side-by-side LLM comparison
o4-mini leads with 11.4% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. 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
o4-mini
OpenAI
2025-04-16
Gemma 3n E2B
2025-06-26
Context window and performance specifications
Average performance across 25 common benchmarks
Gemma 3n E2B
o4-mini
o4-mini
2024-05-31
Gemma 3n E2B
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B
o4-mini
OpenAI
Gemma 3n E2B
o4-mini
Gemma 3n E2B
o4-mini