Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 23.0% higher average benchmark score. Gemini 2.5 Pro offers 920.6K more tokens in context window than o1-mini. Gemini 2.5 Pro is $3.75 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 was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
8 months newer

o1-mini
OpenAI
2024-09-12

Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)

Gemini 2.5 Pro

o1-mini
Context window and performance specifications
Average performance across 1 common benchmarks

Gemini 2.5 Pro

o1-mini
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics

Gemini 2.5 Pro
ZeroEval


Gemini 2.5 Pro

o1-mini

Gemini 2.5 Pro

o1-mini
o1-mini
Azure
OpenAI