Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 57.7% higher average benchmark score. Gemini 3 Pro offers 708.2K more tokens in context window than o3 mini. o3 mini is $17.00 cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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.
9 months newer

o3 mini
OpenAI
2025-01-31

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
o3 mini
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3 Pro
o3 mini
Performance comparison across key benchmark categories
Gemini 3 Pro
o3 mini
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
o3 mini
Gemini 3 Pro
o3 mini
Gemini 3 Pro
o3 mini
OpenAI