Comprehensive side-by-side LLM comparison
o3 leads with 2.3% higher average benchmark score. o3 offers 37.9K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $9.94 cheaper per million tokens. 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
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). 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.
1 month newer
Gemma 3 4B
2025-03-12
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
Gemma 3 4B
o3
Context window and performance specifications
Average performance across 47 common benchmarks
Gemma 3 4B
o3
o3
2024-05-31
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
o3
Gemma 3 4B
o3
Gemma 3 4B
o3
OpenAI