Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 21.7% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than o4-mini. o4-mini is $7.00 cheaper per million tokens. 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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Gemini 1.5 Pro
o4-mini
Context window and performance specifications
Average performance across 34 common benchmarks
Gemini 1.5 Pro
o4-mini
Gemini 1.5 Pro
2023-11-01
o4-mini
2024-05-31
Available providers and their performance metrics
Gemini 1.5 Pro
o4-mini
Gemini 1.5 Pro
o4-mini
Gemini 1.5 Pro
o4-mini
OpenAI