Gemini 2.5 Pro – The latest AI thinking model launched by Google

What is Gemini 2.5 Pro?

Gemini 2.5 Pro is the latest AI model launched by Google. It is a “thinking model” that can reason before responding, enhancing performance and accuracy. The model has demonstrated outstanding performance in multiple benchmark tests. It excels in reasoning and code generation, ranking first on the LMArena leaderboard. It supports multimodal input including text, images, audio, video, and code, with a context window of up to 1 million tokens, which will be expanded to 2 million in the future.

The main functions of Gemini 2.5 Pro

• In-depth Thinking: Gemini 2.5 Pro is a “thinking model” that conducts reasoning before responding. It enhances the accuracy and logicality of its answers through multi-step logical analysis.
• Complex Task Handling: Achieved a score of 18.8% in zero-shot reasoning tasks, three times higher than GPT-4.5 (6.4%).
• Code Generation: Capable of quickly generating complex code, such as creating a video game from a single-line prompt.
• Code Editing and Transformation: Excels at code transformation and editing, optimizing existing code efficiently.
• Multiple Input Formats: Supports various input formats, including text, audio, images, videos, and even entire codebases.
• Cross-Domain Tasks: Can handle cross-domain tasks, such as extracting key information from videos or analyzing large-scale datasets.
• Large Context Window: Supports a context window of up to 1 million tokens, with plans to expand to 2 million tokens in the future.
• Long Document Processing: Capable of processing super-long documents or complex projects, such as accommodating the entire text of *The Lord of the Rings* trilogy.

The technical principles of Gemini 2.5 Pro

• Reinforcement Learning and Chain-of-Thought Prompting: Google has enhanced the reasoning capabilities of models through technologies such as reinforcement learning and chain-of-thought prompting. This enables the model to better analyze information, draw logical conclusions, and incorporate context and nuances when handling complex tasks.
• Model Architecture and Training: Gemini 2.5 Pro combines a significantly enhanced base model with improved post-training techniques, achieving new performance levels in tasks such as reasoning and code generation.

Project address of Gemini 2.5 Pro

• Project official website: https://deepmind.google/technologies/gemini/pro/

Performance Test of Gemini 2.5 Pro

• Benchmark Tests: Gemini 2.5 Pro has achieved SOTA (State-of-the-Art) performance in multiple benchmark tests, ranking first on LMArena.
• Multimodal Capabilities: Gemini 2.5 Pro also topped the leaderboard on the Vision Arena chart.
• Coding Ability: In the field of code generation and editing, Gemini 2.5 Pro performs excellently and can quickly generate complex code.

How to Use Gemini 2.5 Pro

• Access Platform: Log in to Google AI Studio or the Gemini app, or wait for the integration with Vertex AI.
• Select Model: Choose the Gemini 2.5 Pro model on the platform.
• Input Prompt: Enter multimodal information such as text, images, audio, or video as prompts as needed.
• Get Results: The model will perform reasoning and generation based on the input prompt, and users can obtain the model’s output results.
• Advanced User Permissions: Currently, Gemini 2.5 Pro is mainly open to Gemini Advanced users.

Application scenarios of Gemini 2.5 Pro

• Academic Research: Analyze entire textbooks, generate practice questions, or quickly organize research reports.
• Software Development: Process large codebases and generate executable code.
• Creative Work: Generate visual web applications and handle multimodal content.
• Business Applications: Quickly analyze market trends or generate detailed industry reports.