Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o1 offers 37.9K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $74.94 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
2 months newer
o1
OpenAI
2024-12-17
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
o1
Context window and performance specifications
Average performance across 40 common benchmarks
Gemma 3 4B
o1
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
o1
Gemma 3 4B
o1
Gemma 3 4B
o1
Azure
OpenAI