google gemini
CODINGSTREETS
Gemini 2.5 Pro is designed as a "thinking model," capable of reasoning through its thoughts before responding. This results in enhanced performance and improved accuracy, especially in complex problem-solving scenarios.
The model exhibits strong coding capabilities, excelling at creating visually compelling web apps and agentic code applications. It also performs well in code transformation and editing tasks.
Gemini 2.5 Pro builds upon the strengths of previous Gemini models by offering native multimodality. It can comprehend and process various forms of data, including text, audio, images, video, and entire code repositories.
The model is equipped with a 1 million token context window, with plans to expand to 2 million tokens. This allows it to handle vast datasets and complex problems more effectively.
Gemini 2.5 Pro leads on various benchmarks, including topping the LMArena leaderboard, which measures human preferences. It also shows strong performance on math and science benchmarks like GPQA and AIME 2025.