Google's Gemini 2.5 Pro Review (Performance & Benchmarks)

On March 25, 2025, Google announced the Gemini 2.5 Pro model, its most advanced thinking model. This model offers its users advanced reasoning, math, and coding performance and easily solves complex problems. Google's Gemini 2.5 Pro Experimental model is both a preview of the models in development and provides various advantages to its users. If you are curious about Google's Gemini 2.5 Pro model and its capabilities, we've got you covered!

In this article, we will examine the Gemini 2.5 Pro Experimental model and explore its performance and capabilities.

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TL; DR

• Gemini 2.5 Pro model is Google's latest thinking model, released on March 25, 2025.
• You can access the Gemini 2.5 Pro model via Google AI Studio, API, Vertex AI and TextCortex AI.
• The Gemini 2.5 Pro model has higher reasoning, coding, and math performance compared to GPT-4.5, DeepSeek R1 and Gemini 2.0 Flash models.
• During the development phase of the Gemini 2.5 Pro model, the development team trained it to successfully complete advanced and complex reasoning and coding tasks.
• If you want to integrate the Gemini 2.5 Pro model into your enterprise workflow and enable your employees to complete their tasks using it, TextCortex is the solution for you.

What is Gemini 2.5 Pro?

The Gemini 2.5 Pro model is a deep-thinking model developed by Google and released on March 25, 2025. The Gemini 2.5 Pro model is capable of reasoning through its thoughts before responding, resulting in enhanced performance and improved accuracy. In other words, the Gemini 2.5 Pro model has improved performance compared to its predecessors and competitors in information analysis, drawing logical conclusions, incorporating context and nuance, and informed decision-making.

Gemini 2.5 Model Family

The Gemini 2.5 Pro model has undergone similar development processes to its predecessor, the Gemini 2.5 Flash model. In addition to reinforcement learning and chain-of-thought prompting methods, an improved post-training process has been added during the development of the Gemini 2.5 Pro model. Moreover, Google cumulatively integrates all its experiences and AI development methods into its advancing models and develops more advanced models every day. We can predict that other models to be developed for the Gemini 2.5 family will work more effectively than the Pro model. The Gemini 2.5 Pro Experimental model currently supports a 1 million token context window but will soon support 2 million tokens. In addition, the Gemini 2.5 Pro model supports text, code, audio, image, video and even entire code repositories input and output.

How to Access Gemini 2.5 Pro?

To access Gemini 2.5 Pro, you can use Google AI Studio. With Google AI Studio, you can develop your own AI tools and use Gemini 2.5 Pro for your tools that focus on reasoning tasks. Another way to access Gemini 2.5 Pro is through the Gemini App. Gemini 2.5 Pro will also be available on Vertex AI soon.

If you are looking for a way to integrate Gemini 2.5 Pro directly into your enterprise workflow or personal tasks, you can access it via TextCortex. With TextCortex, you can integrate a wide range of LLMs, including Gemini 2.5 Pro and Gemini 2.0 Flash, directly into your workflow and use them to automate your tasks.

Gemini 2.5 Pro Features & Capabilities

The Gemini 2.5 Pro model is the most advanced and accurate model of Google for complex reasoning tasks. Gemini 2.5 Pro Experimental model shows strong reasoning, coding and math performance on common coding, math, and reasoning tasks. It can also generate written content and understand complex queries.

Gemini 2.5 Pro Performance

The Gemini 2.5 Pro Experimental model has higher scores than both its predecessors and its competitors in several benchmarks. For example, in the MMMU benchmark used to measure the visual reasoning performance of AI models, the Gemini 2.5 Pro Experimental model has a higher performance than both its predecessors and its competitors with a score of 81.7%. In the AIME 2025 benchmark used to measure the mathematical performance of What’s more LLMs, the Gemini 2.5 Pro Experimental model outperformed other models by 86.7%. In the 2024 version of the same benchmark, the Gemini 2.5 Pro Experimental model has a score of 92%. When we evaluate the benchmark scores, we can say that the Gemini 2.5 Pro Experimental model has higher performance than both previous Google AI models and competing models such as DeepSeek and GPT-4.5.

Enhanced Reasoning

Gemini 2.5 Pro Experimental model is a thinking model developed to complete complex reasoning tasks with high accuracy. According to Google’s report, the Gemini 2.5 Pro model outperformed all other LLMs in reasoning performance benchmarks such as AIME 2025 and GPQA. Also Gemini 2.5 Pro Experimental model has an 18.8% score in the no-tool version of Humanity’s Last Exam benchmark, while the o3-mini has 14%, and GPT-4.5 has a 6.4% score. All these benchmark scores show that the Gemini 2.5 Pro model is effective for handling complex reasoning tasks.

Advanced Coding

The Gemini 2.5 Pro Experimental model has been fine-tuned during development to deliver better coding performance than the Gemini 2.0 model family. The Gemini 2.5 Pro Experimental model can complete visually compelling web apps, agentic code applications, code transformation and editing tasks. Using the Gemini 2.5 Pro Experimental model, you can turn your single-line prompt into a game or custom agent.

TextCortex AI – Integrate Gemini 2.5 Pro into Your Workflow

If you want to integrate a wide range of advanced LLMs, including Gemini 2.5 Pro Experimental, into your enterprise and lighten your workload, then TextCortex is designed for you. By integrating TextCortex into your enterprise, you can automate your custom workflows and get rid of the workload of repetitive tasks.

TextCortex offers its users the option of building a custom knowledge base that works with advanced AI features. With TextCortex knowledge bases, you can upload your internal data or project-related documents to TextCortex and use them to generate outputs such as documentation and data analysis.

In addition to TextCortex enterprise features, it also has features developed to increase individual performance. With TextCortex web search, you can use the entire internet as a database and minimize your research time. You can also enable your enterprise employees to quickly find the information they are looking for through knowledge bases and turn data into insightful information. Check out the results from one of our case studies:

• Reducción del tiempo de búsqueda de experiencia interna de minutos a segundos
• Un 10-12% más de eficacia en la creación de propuestas
• La confianza de los empleados en el trabajo con IA mejoró de 8/10 a 10/10
• El entusiasmo de los empleados hacia la IA aumentó del 25% al 67%.
• El 94% de los empleados afirman que la IA mejora la calidad de su trabajo

Preguntas frecuentes

Is Google Gemini 2.5 free?

The Gemini 2.5 Pro model is a thinking model that is offered free of charge to all users. You can now try Gemini 2.5 Pro without a paid subscription.

Is Gemini 2.5 Pro better than GPT-4?

The Gemini 2.5 Pro Experimental model has higher performance than the GPT-4 model in most benchmarks. Gemini 2.5 Pro offers better performance and speed than GPT-4. The Gemini 2.5 Pro model offers much higher performance than the GPT-4 model in reasoning, math, and coding tasks.

Is the Gemini 2.5 Pro a reasoning model?

Gemini 2.5 models are positioned as thinking models, and they are capable of reasoning through their thoughts before responding, resulting in enhanced performance and improved accuracy.