Published on: March 26, 2025 / update from: March 26, 2025 - Author: Konrad Wolfenstein
Google Gemini 2.5 Pro Experimental: A new milestone in AI development-Image: Xpert.digital
Gemini 2.5 Pro: Google's most intelligent AI model sets new standards
Multimodale Super-KI: Why Google's Gemini 2.5 Pro impressed
On March 25, 2025, Google presented its latest and according to “Most Intelligente Ki model”, Gemini 2.5 Pro. This experimental version marks a significant progress in the development of AI systems with advanced thinking skills and exceeds competitive models in numerous benchmark tests with a considerable lead. The model combines improved arguments with impressive multimodal functions and an enormous context window, which makes it a powerful tool for complex tasks.
Suitable for:
Basic characteristics and technology
Gemini 2.5 Pro belongs to the family of the “Thinking Models” (thinking models), which are characterized by a special approach: they carry out internal thinking processes before the answer is generated, which leads to more precise results. This technology builds on previous developments such as the Gemini 2.0 Flash Thinking and combines a “significantly improved basic model with optimized post-training”.
The ability to “argue” (Reasoning) goes beyond simple classification and prediction. The model can analyze information, draw logical conclusions, take into account the context and nuances and make well -founded decisions. These thinking skills have been developed through Reinforcement Learning and Chain-of-Thought Prumpting, whereby Google plans to integrate these skills directly into all of their models in the future.
Technical specifications
Gemini 2.5 Pro impresses with a context window of 1 million tokens, which enables the processing of extensive data records. Google has already announced that this window will be expanded to 2 million tokens in the near future. The model has native multimodality and can process entries in the form of text, audio, images and videos.
The level of knowledge (Knowledge Cut-Off) of the model is sufficient until January 2025, which makes it one of the latest AI models on the market.
Performance in benchmark tests
Gemini 2.5 Pro has achieved impressive results in numerous benchmark tests:
General performance
- 1st place on the Lmarena ranking with an ELO value of 1443, well before the next competitor Grok 3 preview with 1404
- Leading position in the categories difficult prompts, coding, mathematics, creative writing, following instructions, longer queries and multi-gymnastics answers
Scientific and mathematical skills
- 18.8%on “Humanity's Last Exam” without using tools (for comparison: Openaai's O3-Mini reaches 14.0%, Claude 3.7 Sonnet 8.9%)
- 84% on GPQA, a scientific benchmark
- 86.7% on Aime 2025, a demanding math-benchmark
Coding capabilities
- 63.8% on SWE-Bench Verified with a custom agent setup
- Leading position on LiveCodeBech, Aider, SWE-Bench and other coding benchmarks
Suitable for:
Special skills and areas of application
Gemini 2.5 Pro is characterized by several remarkable skills that stand out from other models:
Advanced coding capabilities
The model can create visually appealing web apps and agent code applications and transform and edit code. It is able to promptly generate complex applications such as video games from a single line. The ability to process entire code repositories makes it a valuable tool for software developers.
Multimodal processing
The native multimodality of the model allows the understanding of different input formats such as text, audio, images and video. Are particularly noteworthy:
- Audio input with precise time stamps
- Precise bounding box recognition for objects in images
- Real-time streaming and native tool use
Creative applications
Gemini 2.5 Pro can manage a variety of creative tasks:
- Creation of interactive animations and visualizations
- Generation of SVG graphics for specific requirements
- Development of fractal visualizations and particle simulations
-interactive presentation of economic data
Availability and access
Gemini 2.5 Pro has been available in Google Ai Studio since March 25, 2025 and can be used by Gemini Advanced users via the Gemini app on desktop and mobile devices. Integration into Vertex AI has been announced for the near future.
Regarding the pricing, Google has announced that it will publish details in the coming weeks. It is planned to introduce increased installments and billing options for the experimental model.
Suitable for:
Comparison with competitive models
Gemini 2.5 Pro competes with other leading AI models such as Openai's GPT-4.5 and O3-Mini, Anthropic's Claude 3.7 Sonnet, Xai's Grok 3 Beta and Deepseek R1. In most benchmark tests, Gemini 2.5 Pro exceeds these competitors, with the lead varied depending on the benchmark.
The performance in the Lmarena, where Gemini 2.5 Pro takes first place in numerous categories, is particularly impressive, including difficult prompts, coding, mathematics and creative writing.
However, there are also critical voices: a Reddit comment indicates that the model may not cut off better in some areas such as the reasoning, programming and physics than Gemini 2.0 Flash Thinking.
Google AI upgrade: 2 million tokens for complex analyzes
Google has announced that Gemini 2.5 Pro think skills have directly integrated into all of its future models in order to optimize them for more complex problems and more demanding, context -conscious agents.
The planned expansion of the context window to 2 million tokens will further improve the ability of the model for processing extensive data records. This could be particularly important for the analysis of large codebase, extensive scientific texts or complex multimodal content.
The influence of Gemini 2.5 Pro on the future of artificial intelligence
With Gemini 2.5 Pro, Google has taken a significant step in the development of AI models. The combination of advanced thinking, multimodal functions and an enormous context window positions the model at the top of the current AI market.
The impressive benchmark results and the versatility of the model make it a valuable tool for various applications, from software development to scientific analyzes to creative projects. The future integration of these thinking skills in all Google models promises further progress in the field of artificial intelligence.
With the publication of Gemini 2.5 Pro, the competition in the AI sector is further intensifying, whereby 2025 seems to be a decisive year for the development of even more powerful models.
Update (March 26, 2025): What is Gemini 2.5 per experimental?
Gemini 2.5 Pro Experimental is the latest version of Google's most progressive Large Language Model (LLM). It builds on the skills of its predecessors, Gemini 1.0 and especially Gemini 1.5 Pro, and aims to provide significant improvements in key areas. The addition “experimental” indicates that it is not yet a broad release, but a version that is primarily made accessible to tests, feedback and further development by selected partners and developers.
Why a milestone? The expected innovations
Although details on “experimental” versions are often gradually announced, the previous developments and Google's strategy indicate the following potential core improvements that could make Gemini 2.5 Pro a milestone:
- Another extended context window: Gemini 1.5 Pro impressed with a context window of up to 1 million tokens, which corresponds to the processing of huge amounts of information (entire books, code bases, hours of video). It is very likely that Gemini 2.5 Pro will continue to expand or at least make more efficient, which enables even more complex analyzes and longer, more coherent interactions.
- Increased performance and efficiency: Every generation jump aims at improving raw performance in tasks such as conclusion (reasoning), mathematics, coding and creative writing. Gemini 2.5 Pro is expected to deliver even better results over a wide range of benchmarks and may also be more efficient in relation to arithmetic resources.
- Improved multimodal skills: Gemini was designed from scratch to multimodal to seamlessly process text, images, audio and video. Version 2.5 Pro should further refine these skills, which leads to a deeper understanding and more complex interaction over different data types.
- Fine tuning and specialization: The “experimental” phase often serves to test the model under real conditions and to collect feedback for specific applications. This could lead to more specialized or more customizable versions in the future.
The importance of the “experimental” status
It is important to emphasize that “experimental” means that the model is not yet final. Google uses this phase to:
- Collecting feedback: developers and researchers can test the model and give valuable insights into its strengths and weaknesses.
- Testing security and reliability: Before a model is rolled out, robustness and security must be checked thoroughly.
- To optimize performance: Based on the tests, the model can be further optimized.
This also means that Gemini 2.5 per experimental is not yet available in the common consumer products such as the standard Gemini chatbot or integrated Google services for the broad mass.
The development of Gemini 2.5 Pro experimental underlines Google's ambitions to remain at the top of AI research and development. The potential progress, especially in the area of the huge understanding of contexts and multimodal processing, could enable completely new applications:
Analysis of complex medical reports including image data.
- Creation of detailed summaries and analyzes from hours of meetings or lectures (audio/video + transcript).
- Development of highly specialized code assistants who understand entire repositories.
- Even more natural and more context-conscious conversation ki.
Even if Gemini 2.5 per experimental is not yet accessible to everyone, his announcement marks a potentially significant step forward in AI development. It shows the direction in which the technology moves: into models that understand ever larger amounts of information, pull more complex conclusions and act seamlessly across different data modalities. It remains exciting to observe what specific skills this experimental version will demonstrate and when your innovations will be incorporated into broader products. Google once again consolidates its position as a driving force in the age of artificial intelligence.
Suitable for:
Your global marketing and business development partner
☑️ Our business language is English or German
☑️ NEW: Correspondence in your national language!
Konrad Wolfenstein
I would be happy to serve you and my team as a personal advisor.
You can contact me by filling out the contact form or simply call me on +49 89 89 674 804 (Munich) . My email address is: wolfenstein ∂ xpert.digital
I'm looking forward to our joint project.
