Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 4.4% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than o3. o3 is $2.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2024, 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.
11 months newer
Gemini 1.5 Pro
2024-05-01
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
Gemini 1.5 Pro
o3
Context window and performance specifications
Average performance across 42 common benchmarks
Gemini 1.5 Pro
o3
Gemini 1.5 Pro
2023-11-01
o3
2024-05-31
Available providers and their performance metrics
Gemini 1.5 Pro
o3
Gemini 1.5 Pro
o3
Gemini 1.5 Pro
o3
OpenAI