Gemini 2.5 Pro's advanced reasoning capabilities set it apart from previous AI models. This "thinking model" is designed to analyze information, draw logical conclusions, and incorporate context before responding1. By combining an enhanced base model with improved post-training techniques, Gemini 2.5 Pro can tackle complex problems with greater accuracy and nuance1.

Key features of Gemini 2.5 Pro's reasoning abilities include:

• Multimodal understanding, allowing it to process and integrate information from various input types including text, images, audio, and video2

• Improved performance on tasks requiring multi-step reasoning and real-world knowledge3

• Enhanced code generation and transformation capabilities, enabling it to create visually compelling web apps and agentic code applications1

• The ability to generate executable code from a single line prompt, demonstrating its capacity for complex problem-solving1

These advancements in reasoning contribute to Gemini 2.5 Pro's state-of-the-art performance across a wide range of benchmarks, particularly in areas requiring advanced logical thinking and problem-solving skills4.

Gemini 2.5 Pro has demonstrated exceptional performance across a range of benchmarks, solidifying its position as a leading AI model. On the LMArena leaderboard, which measures human preferences, Gemini 2.5 Pro secured the top spot by a significant margin12. The model excelled in various categories, including:

• Humanity's Last Exam: Scoring 18.8% without tools, outperforming competitors like o3-mini (14%) and Claude 3.7 (8.9%)3

• GPQA Diamond: Achieving 84.0% pass@1, ahead of Grok 3 Beta (80.2%) and o3-mini (79.7%)3

• AIME 2025: Leading with 86.7% pass@1, slightly above o3-mini (86.5%)3

• MRCR: Demonstrating superior long-context comprehension with 91.5% for 128K context, far surpassing GPT-4.5 (48.8%)3

• MMMU: Showcasing strong multimodal understanding with 81.7% pass@13

These results highlight Gemini 2.5 Pro's advancements in reasoning, math, science, and long-context tasks, positioning it as a versatile and powerful AI model across various domains14.

Boasting an impressive one million token context window, Gemini 2.5 Pro sets a new standard for AI model capacity1. This expansive context window is slated to double to two million tokens in the near future, further enhancing the model's ability to process and understand vast amounts of information2. Additionally, the model features a substantial maximum output capacity of 65,000 tokens, enabling it to generate detailed and comprehensive responses3. Gemini 2.5 Pro also incorporates native multimodality, allowing it to seamlessly process and integrate various input types including audio, images, video, and text42. These technical advancements contribute to the model's state-of-the-art performance across a wide range of tasks and benchmarks.

Gemini 2.5 Pro Experimental is now available to users through multiple platforms. It can be accessed in Google AI Studio and the Gemini app for Gemini Advanced subscribers1. Google plans to expand its availability to Vertex AI soon, catering to enterprise users12. While the initial rollout focuses on web access, mobile support is expected to follow3.

Google has announced that pricing details for Gemini 2.5 Pro will be released in the coming weeks, enabling scaled production use with higher rate limits1. This phased rollout strategy allows Google to gather user feedback and refine the model's performance before wider deployment across its ecosystem of products and services4.