Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 47.6% higher average benchmark score. Gemini 1.5 Pro offers 1.9M more tokens in context window than o1-mini. Gemini 1.5 Pro is $2.50 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.
4 months newer
Gemini 1.5 Pro
2024-05-01
o1-mini
OpenAI
2024-09-12
Cost per million tokens (USD)
Gemini 1.5 Pro
o1-mini
Context window and performance specifications
Average performance across 26 common benchmarks
Gemini 1.5 Pro
o1-mini
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
o1-mini
Gemini 1.5 Pro
o1-mini
Gemini 1.5 Pro
o1-mini
Azure
OpenAI