Google Gemini 2.5 Pro: A New Benchmark in AI?

Just yesterday, Google officially launched its newly upgraded AI model—Gemini 2.5 Pro, quickly sparking discussion across the global tech community. This AI, dubbed a "Reasoning Model," has not only achieved a qualitative leap in performance and reasoning capabilities but has also reached global leadership in multiple benchmark tests. Whether you're a developer, business user, or AI enthusiast, Gemini 2.5 Pro is worth exploring in depth. This article will comprehensively interpret the features and technical highlights of this new model.

Gemini 2.5 Pro: What is a "Reasoning Model"?

Gemini 2.5 Pro is defined by Google as a "Reasoning Model," with its core capability being deep reasoning and analysis before generating responses. This means it doesn't simply produce answers but combines context, background information, and complex logic to arrive at more accurate and intelligent conclusions.

According to Google's CTO, "reasoning ability" is key to advancing AI systems to higher levels of intelligence. Gemini 2.5 Pro has significantly enhanced its reasoning capabilities through reinforcement learning and chain-of-thought prompting techniques, enabling it to excel in complex tasks.

Since OpenAI first introduced o1, there is now consensus that "Reasoning Models" can better solve reasoning/complex problems. o1/Claude 3.5/3.7/Deepseek are all typical representatives, which has also given rise to AI agent products like manus that rely on reasoning models at their core.

Technical Highlights: Why is Gemini 2.5 Pro So Powerful?

1. Long Text Support

Gemini 2.5 Pro continues the multimodal characteristics of the Gemini series, capable of processing various data types including text, images, audio, and video. It also supports long context windows, with the current version implementing a 1 million token context window and plans to release a version supporting 2 million tokens. This enables it to handle more complex and extensive datasets, excelling in multi-turn conversations, long queries, and cross-modal tasks.

"Coding capabilities and long text support will change the game."

Reddit user feedback indicates that Gemini 2.5 Pro can easily process entire e-books and answer questions about specific details within seconds, demonstrating remarkable capabilities in long-text comprehension.

2. MRCR Capabilities

Gemini pro 2.5 has an impressive 91.5% MRCR

Gemini 2.5 Pro demonstrates exceptional performance in Multi-Reference Context Retrieval (MRCR), achieving a high accuracy rate of 91.5%. This isn't just a simple "dumb haystack benchmark" but the ability to find meaningful signals or targets in high-noise environments. This capability is crucial for processing large amounts of information and extracting key content, especially in research, data analysis, and information retrieval.

3. Coding Abilities

In the coding domain, Gemini 2.5 Pro particularly stands out. In the industry-standard SWE-Bench Verified evaluation, it scored an impressive 63.8%, far surpassing similar models.

In coding tasks, it can generate complete executable code through simple prompts and even create games or complex web applications with a single command.

Let's look at a test by a YouTube creator focusing on web editing capabilities.
The prompt is shown in the image, requesting all code to be output as a single HTML file for easy execution.

Gemini 2.5 Pro can demonstrate a more comprehensive chain of thought and generate fully functional code.

Below is the final result.

4. Response Speed

User feedback shows that even when faced with complex problems, it can provide accurate answers within 15 seconds, while other models might require more time. This quick response capability creates a smoother user experience, especially in scenarios requiring real-time interaction.

5. Performance

According to Arena data, Gemini 2.5 Pro tied with Grok-3/GPT-4.5 for first place in difficult prompts and programming, and edged ahead in all other competitions to claim the top spot!

6. Native Multimodal Capabilities

Gemini 2.5 Pro features powerful multimodal processing capabilities:

• Supports multiple input types: text, audio, images, video, and code
• Cross-modal understanding: comprehends relationships and context between different modalities
• Visual understanding: ranks first on the Vision Arena leaderboard
• Audio processing: supports audio input, a feature many other models lack

How to Use? (API/Pricing)

Currently, Google has released the Gemini 2.5 Pro Experimental version, which users can experience in Google AI Studio.

For developers, Google provides a comprehensive Gemini API, making it simple to integrate Gemini 2.5 Pro's powerful capabilities. Developers can access various functions through the API, including text generation, code writing, and image understanding.

Soon, Monica will also integrate Gemini Pro 2.5, available for Monica subscribers.

Footnotes

1. Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael Jordan, Joseph E. Gonzalez, and Ion Stoica. Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. arXiv:2403.04132, 2024.