New Gemini 2.5 Pro Crushes the Competition!

Introduction to Google Gemini 2.5

Hello friends, Welcome to our new post. Hope you’re doing well.

In this post, we delve into the highly impressive and completely free Google Gemini 2.5 update. We’ll guide you through using this AI to create a game with a single prompt, showcase some of the best prompts to use, and demonstrate how Gemini 2.5 outperforms many paid models.

You can access it via ai.studio.google.com and enjoy the benefits of its free API.

We’ll also compare Gemini 2.5 Pro to other leading AI models on various benchmarks and functionalities, including a head-to-head test against Claude for creating an SEO cost calculator.

Additionally, learn how to utilize this powerful tool within Visual Studio Code, Open Router, and more. Enhance your productivity and creativity with Gemini 2.5 while saving time and money!

What is the Google Gemini 2.5 Pro update?

Gemini introduced its first model called Gemini 2.5 Pro. It is the advanced artificial intelligence model to date.

This latest version introduces what Google describes as “thinking” capabilities; this enables the model to process tasks step by step , which leads to more informed and accurate decisions. This model is available in Google AI Studio and the Gemini app for Gemini Advanced users, with plans for future integration into Vertex AI.

Gemini is ranked as a highly capable model designed to tackle complex prompts across coding, science, and mathematics .

Also read– Elon Musk’s GrokAI Hurls Abuse In Hindi | Is It Better Than ChatGPT?

Features of Gemini 2.5 pro

1. Enhanced Reasoning: Gemini 2.5 Pro is designed as a “thinking model” that can reason through complex problems step-by-step, leading to more accurate and contextually relevant responses.

2. Improved Coding Skills: This version performs improved coding techniques, excelling at creating web applications, agentic code, and performing code transformations and edits.

3. Native Multimodality: This model can understand and process information from various sources, including text, audio, images, and video .

4. High Output : Output token limit of 64,000, allowing for the generation of detailed and lengthy responses.

5. Tool Use Capabilities: This model uses tools to enhance its functionalities , including calling external functions, generating structured data, executing code, and using search.  

6. Accessibility: Gemini 2.5 Pro is currently available in Google AI Studio and the Gemini app for Gemini Advanced users, with plans for future integration into Vertex AI .

Gemini 2.5 pro Model information

Performance Benchmarks of Geminie 2.5 pro

1. LMArena

According to Google’s announcement, the Gemini Pro experiment achieved the top position on the LMArena leaderboard, which means the user finds high-quality output aligned with their expectations.

2. GPQA Diamond and AIME

It also leads in benchmarks like GPQA Diamond and AIME 2025 without relying on test-time techniques. Beyond subjective evaluation, this model also demonstrates strong performance in objective benchmarks.

3. Humanity’s Last Exam

Gemini 2.5 Pro achieved a state-of-the-art score of 18.8% on Humanity’s Last Exam across models without tool use.

Accessing Gemini 2.5

Expert reviews

• The impression from experts and users suggests that Gemini 2.5 Pro is a significant advancement. Expert Simon Willison, a well-known figure in the tech community, describes it as a “very strong new model” and particularly praises its coding capabilities.

In his blog he highlighted its ability to understand and modify a large codebase efficiently.

• A reviewer from TechRadar compared it to ChatGPT 03-mini; he noted that Gemini 2.5 Pro provided clearer and more contextual guidance for a DIY task.

He also suggested that it might be preferable for real-world applications like home improvement and event planning.

• Latenode‘s assessment emphasized the model’s enhanced reasoning, improved handling of long inputs, and promising instruction-following capabilities.

• Datacamp emphasized the transforming power of its enormous 1 million token context window, which allows for the analysis of large papers and codebases without the requirement of sophisticated retrieval systems.

User Reviews

• Feedback by users on platforms like Reddit gave a positive response, with considerable excitement surrounding the model’s capabilities .
• Many users reported that in their private testing, Gemini 2.5 outperformed many other models like GPT 4.5 and Claude 3.7.
• However, some users also noted its drawbacks, such as results being less immediately useful for study because of a tendency to occasionally stray from the subject and cases of including unneeded code when requests for changes were made.
• For coding, users have a mix of reviews; some suggest that it is better than Claude in complex tasks, while others have the opposite thought.

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Comparing Gemini 2.5 with it’s competitors

Comparing Gemini 2.5 Pro with its competitors reveals the reality about its effectiveness and accuracy.

Table 2: Feature Comparison: Gemini 2.5 Pro vs. GPT-4 vs. Claude 3

Gemini 2.5 Pro Vs GPT-4.5

1. Gemini 2.5 Pro outperforms GPT-4.5 in reasoning, mathematics, long-context handling, and multilingual tasks, while GPT-4.5 excels in fact-checking and slightly in code generation. .
2. A significant advantage for Gemini 2.5 Pro is its substantially larger context window (1 million to 2 million tokens) compared to GPT-4 (8,192 tokens) and GPT-4 Turbo 1106 (128,000 tokens) .
3. Additionally, Gemini 2.5 Pro supports voice and video processing, unlike GPT-4 and some of its variants.
4. While GPT-4.5 is considered more expensive, the pricing for expanded use of Gemini 2.5 Pro is anticipated to be competitive .
5. In image generation tasks, Gemini 2.5 Pro has been noted for its speed and conversational editing capabilities, performing well in following instructions but sometimes facing challenges with text rendering, in comparison to models like GPT-4o and Grok 3 .

Gemini 2.5 Pro Claude 3

1. Gemini 2.5 Pro outperforms Claude 3.7 Sonnet in mathematics, science, reasoning, long-context handling, coding, and multimodal tasks.
2. Claude Sonnet performs better in factual question answering.
3. Gemini 2.5 Pro has a larger context window than Claude 3 Opus, Haiku, and Claude 3.7 Sonnet.
4. Gemini 2.5 Pro’s pricing is expected to be competitive, with DeepSeek R1 being a cost-effective alternative.
5. User experiences on coding reliability are mixed, with some favoring Gemini 2.5 Pro for complex coding.
6. Claude 3.7 Sonnet scored slightly higher on the SWE-Bench Verified benchmark.

Creating Content with Gemini 2.5

1. Writing Assistance

Gemini 2.5 Pro can help users go from a blank page to a finished product more quickly. It can be used to summarize text, generate first drafts, and provide feedback on existing written content .

2. Image Generation

In the new update, Imagen 3 was implemented with the Gemini 2.5 model, which allows users to create images from text prompts in a few seconds .

This can be use to get inspiration for logos, exploring various artistic styles and creating images for various purpose.

3. Idea Generation

This model can be used to brainstorm ideas through Gemini Live, facilitating the creative process .

Also read – Best AI for coding in 2025: AI Tools for Smarter, Faster Coding in 2025

Coding with Gemini 2.5

The new version of Gemini has significant advanced coding ability. Here is the breakdown of its coding ability.

1. Strong Performance

Apart from code transformation and editing, Gemini 2.5 Pro particularly shines at producing visually interesting web apps and agentic code apps.

It achieved a score of 63.8% on the SWE-Bench Verified benchmark, which evaluates agentic coding, placing it ahead of models like o3-mini and DeepSeek R1 .

2. Coding Benchmarks

Although Gemini 2.5 Pro excels at coding, it doesn’t always lead in every coding test. On LiveCodeBench v5 (code generation), it scored 70.4%, slightly behind o3-mini (74.1%) and Grok 3 Beta (70.6%). In code editing, as measured by the Aider Polyglot benchmark, Gemini reached 74.0%, a solid score.

3. Practical Applications

It can be used for various coding tasks, including generating code for web applications and even creating functional video games from a single-line prompt.

It can also assist with debugging and optimizing code .

Using Gemini 2.5 API

The OpenRoutter AI free API from Google can be accessed by downloading the API Key link. After that one can use it in their favorite apps like the Gemini Pro Experimental 2.5 client or Root Code.

These free coding tools are useful for building projects. To download Visual Studio Code, visit code.visisualstudio.com and select the desired tool from the extension section.

For example, to use the client, type “client” and install it. In your settings, select Google Gemini and get a free API key. However, Google 2.5 Pro Experimental is not supported for computer use or prompt caching. Instead, use OpenRoutter in the settings and select Google. This API supports images but doesn’t support computer use or prompt caching. OpenRooter allows you to access the API for free, allowing you to start coding with it.

Conclusion

In conclusion, overall very impressive. I’d probably say this is one of the best, if not the best, coding models that I’ve used for these day-to-day types of web development. We were able to generate two successful 2D games; we were able to get started at least with a third 3D game; and then finally, we were also able to set up the basis of a simple blog, and we have this full-stack site now.

Otherwise, that’s pretty much it for this blog. Hopefully, you found this post useful. Maybe you learned something potentially on how you can prompt these different models. Now, obviously, I’m coming at this from the perspective of coding for many years, so being able to direct LLMs in a particular way, I am biased to having a little bit of experience in building applications myself, but hopefully, for people that are maybe a little bit less experienced, you could take something from some of the prompts potentially that I use overall.

Just see what Gemini 2.5 Pro can do as well as what you can do within the cursor.

FAQ’s

Q1. Is google gemini free?

Yes Gemini have both free and paid versions. “Free tier” for gemini API, which allow users to experiment with the model, but it has limited features. Then there is paid version for higher usage and advance features.

Q2. How to enable gemini in google docs ?

Enable gemini in google docs

1. “Ask Gemini” feature: Opens a side panel for interaction with Gemini.
2. “Help me write” feature: Allows for text generation or refinement.
3. Key Gemini Capabilities: Summarizing documents, writing and rewriting, image creation, and referencing Drive and Gmail.
4. Notes: Access to advanced features may require an eligible Google Workspace or Google One AI Premium subscription.
5. Google Workspace labs also provide access to Gemini features.
6. Always review and verify any information generated by AI.

Q3. How to activate gemini in google workspace?

Google Workspace Gemini Feature Overview

• Administrative Control: Google Workspace administrators control access to Gemini features.
• The “Gemini for Google Workspace” add-on offers deeper integration and better AI capabilities.
• “Gemini Alpha Features”: Allows testing and early access to new features.
• Access Management: Administrators can set access levels for the entire organization, specific organizational units, and defined user groups.
• General Steps: Log in to the Google Admin panel, go to Gemini settings, check service status, manage access to Gemini features, activate Alpha capabilities, and allow workspace extensions.
• Important considerations: Obtain the requisite Google Workspace licenses for Gemini functionality.
• Data Privacy: Become familiar with Google’s Gemini-related data privacy rules.
• User Training: Provide proper training on Gemini features in Google Workspace.

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