Comprehensive side-by-side LLM comparison
o3-mini leads with 17.7% higher average benchmark score. o3-mini offers 236.0K more tokens in context window than Gemma 3n E4B Instructed. o3-mini is $54.50 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, o3-mini 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
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.
4 months newer
o3-mini
OpenAI
2025-01-30
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
o3-mini
Context window and performance specifications
Average performance across 41 common benchmarks
Gemma 3n E4B Instructed
o3-mini
o3-mini
2023-09-30
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
o3-mini
Gemma 3n E4B Instructed
o3-mini
Gemma 3n E4B Instructed
o3-mini
Azure
OpenAI