Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 6.3% higher average benchmark score. Gemini 2.5 Pro offers 708.2K more tokens in context window than o3 mini. o3 mini is $5.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
3 months newer

o3 mini
OpenAI
2025-01-31

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
o3 mini
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
o3 mini
Performance comparison across key benchmark categories
Gemini 2.5 Pro
o3 mini
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
o3 mini
Gemini 2.5 Pro
o3 mini
Gemini 2.5 Pro
o3 mini
OpenAI