Google updates Gemini 2.5 Pro, CEO Sundar Pichai says it is now more creative and smarter
Just two months after unveiling Gemini 2.5 Pro, Google has introduced an updated version of its most advanced AI model to date. Announced on Thursday, the latest iteration, labelled an 'updated preview', builds upon enhancements rolled out a month ago and brings improved performance in specific programming tasks. While the full release is expected in the coming weeks, developers can already access it through Google's AI platforms: AI Studio, Vertex AI, and the Gemini app.advertisementAccording to a blog post from the company, '[Gemini 2.5 Pro] continues to excel at coding, leading on difficult coding benchmarks.' Google further added, 'It also shows top-tier performance [on] highly challenging benchmarks that evaluate a model's math, science, knowledge, and reasoning capabilities.'Additionally, Sundar Pichai, Google CEO took to X (formerly known as Twitter) that the updated Gemini 2.5 Pro is now better at coding, reasoning, and math. He added, "... shows improved performance across key benchmarks (AIDER Polygot, GPQA, HLE to name a few)."
Among the refinements, Google says it has taken user feedback into account to polish the model's output. Pichai said, "We also heard your feedback and made improvements to style and the structure of responses." The company notes that the new version can now deliver answers that are 'more creative with better-formatted responses.' advertisementGemini 2.5 builds on the capabilities of its earlier versions, enhancing both performance and versatility. It offers native multimodal support and a significantly extended context window. The Pro variant is particularly notable, now accommodating up to 2 million tokens—doubling the already impressive 1 million-token window previously available.Developers can take advantage of these features through the Gemini API, Google AI Studio, and Vertex AI. As for pricing, Google has set the cost at $1.25 (approximately Rs 108) per million input tokens without caching, and $10 (around Rs 860) per million output tokens.Every model in the Gemini 2.5 lineup—including future iterations—has been crafted as a 'thinking model,' designed to internally reason before generating a response. This approach, according to Google, leads to greater accuracy and stronger overall performance. The company emphasises that it is 'building these thinking capabilities directly into all of its models' to better equip them for tackling complex challenges and powering more intelligent, context-aware agents.Gemini 2.5 represents a significant leap forward, delivering 'a new level of performance' by combining a vastly improved foundational model with refined post-training techniques. It stands as the most sophisticated version of Gemini to date.
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