Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 3.0% higher average benchmark score. o3-mini offers 37.9K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $5.35 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K 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. 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.
1 month newer
o3-mini
OpenAI
2025-01-30
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
Gemma 3 12B
o3-mini
Context window and performance specifications
Average performance across 48 common benchmarks
Gemma 3 12B
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
o3-mini
Gemma 3 12B
o3-mini
Gemma 3 12B
o3-mini
Azure
OpenAI