Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 29.8% higher average benchmark score. Gemini 2.5 Pro offers 953.3K more tokens in context window than o1-preview. Gemini 2.5 Pro is $63.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K 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.
8 months newer
o1-preview
OpenAI
2024-09-12
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
o1-preview
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Pro
o1-preview
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
o1-preview
Gemini 2.5 Pro
o1-preview
o1-preview
Azure
OpenAI