The updated Gemini 2.5 Pro, known as the "Gemini 2.5 Pro Preview IO Edition," has introduced several significant improvements and new capabilities:

• Enhanced Web App Development: The model has been specifically optimized for building compelling interactive web applications, with improved capabilities for coding tasks such as code transformation, code editing, and developing complex workflows.
• Increased Performance: The model's LM Arena score has jumped from 1437 to 1448, a notable 11-point improvement. Additionally, its web development leaderboard score has increased from 1272 to 1419, a 147-point enhancement.
• Improved Tool Calling: The model now offers better support for function calling and agentic use, addressing a previous limitation where Claude 3.7 was considered superior in this area.
• Expanded Context Window: Gemini 2.5 Pro maintains its impressive 1 million token context window, allowing it to ingest and process a wide range of content, including video, images, and audio.
• Competitive Benchmarks: While the model may not outperform OpenAI's GPT-3.5 on certain benchmark tests, it remains a top-tier frontier model with a significantly lower cost, making it a highly attractive option for many use cases.
• Impressive Demonstrations: The model has showcased its capabilities in solving complex tasks, such as a 20x20 Rubik's Cube, creating visually stunning 3D simulations, and building interactive web applications and games.

Overall, the Gemini 2.5 Pro Preview IO Edition represents a significant step forward, further cementing its position as one of the most capable and cost-effective language models available.

The updated Gemini 2.5 Pro model has seen significant improvements in its benchmark performance. Here's a breakdown of the key benchmarks:

• GPQA Diamond: 83%, compared to the previous version.
• Amy 2024: 83%, outperforming the OpenAI 03 model.
• Ader Polyglot: 76%, with OpenAI 03 still beating it.
• Sweetbench Verified: 63% vs. 69% for OpenAI 03, with the latter taking the lead.
• Simple QA MMLU: Gemini 2.5 Pro is either on par or slightly behind OpenAI 03.

While benchmarks provide a useful comparison, the real strength of the Gemini 2.5 Pro model lies in its ability to output incredible long-form code and build sophisticated applications and games. Additionally, the pricing for Gemini 2.5 Pro is highly competitive, with input costs at $2.50 per million tokens and output costs at $15 per million tokens, significantly lower than the OpenAI 03 model.

Gemini 2.5 Pro, the latest version of Google's powerful language model, has showcased its incredible capabilities through a series of impressive demonstrations.

The model was able to effortlessly solve a 20x20 Rubik's Cube, a task that would be incredibly complex for a human to accomplish. This feat highlights Gemini 2.5 Pro's exceptional problem-solving abilities and its mastery of complex spatial reasoning.

Furthermore, the model demonstrated its prowess in building rich, interactive web applications. By creating a dreamy, low-poly floating island scene with dynamic lighting and animations, as well as a Galton board simulation with customizable parameters, Gemini 2.5 Pro proved its versatility in developing visually stunning and interactive web experiences.

The model's capabilities extend beyond just visual tasks. It was able to create a functional flight simulator using Three.js, complete with a third-person camera, basic airplane controls, and a 3D environment. This showcases Gemini 2.5 Pro's ability to tackle complex 3D programming challenges.

Additionally, the model successfully recreated a particle simulation, allowing users to control various aspects of the simulation, such as the number of particles, their size, and the morphing speed. This level of customization and interactivity is a testament to Gemini 2.5 Pro's versatility and its ability to generate high-quality, interactive content.

Finally, the model demonstrated its prowess in game development by creating a retro-style, first-person shooter game inspired by the classic Doom, as well as a tower defense game with various tower types and enemy waves. These games, while basic in their current form, highlight Gemini 2.5 Pro's potential to create engaging and immersive gaming experiences.

Overall, the demonstrations showcased in this content highlight the impressive capabilities of Gemini 2.5 Pro, solidifying its position as a cutting-edge language model with the ability to tackle a wide range of complex tasks, from puzzle-solving to interactive web and game development.

Box is sponsoring this video and they're going to have Gemini 2.5 Pro IO Edition soon. Box allows you to store all of your company's documents, any type, and leverage artificial intelligence to extract insights, answer Q&A, create automations and intelligent workflows with their agents. They have a super easy to use API so you can build really cool stuff on top of Box AI and they handle the entire ETL pipeline for you so you don't have to worry about all of those complexities. Box is trusted by 115,000 enterprise organizations, including my own, and they have enterprise-grade security, compliance, and governance.

So check out Box AI, I'll drop a link down below. Try out Gemini 2.5 Pro IO Edition with them soon. And thanks again to Box.

The new Gemini 2.5 Pro IO Edition from Google is a significant improvement over the previous version, with enhanced capabilities for building compelling interactive web apps. The model has seen an impressive jump in performance, with an 11-point increase in the LM Arena score and a 147-point improvement in the web dev arena leaderboard.

The updates to Gemini 2.5 Pro have extended its capabilities beyond just zeroing entire applications, games, and simulations, to include improved function calling and agentic use. The model's million-token context window and ability to ingest various media types make it a powerful tool for a wide range of coding tasks.

While the benchmarks show that OpenAI's GPT-3 model still outperforms Gemini 2.5 Pro in some areas, the pricing of the new model makes it a highly attractive option, with input and output costs significantly lower than GPT-3.

The demonstrations of Gemini 2.5 Pro's abilities, from solving complex Rubik's Cubes to creating interactive 3D simulations and games, are truly impressive. The model's performance on these tasks highlights its potential for revolutionizing the way developers approach building web applications and interactive experiences.

Overall, the Gemini 2.5 Pro IO Edition is a significant step forward in the world of large language models, and its availability through Box AI makes it an exciting opportunity for developers to explore and push the boundaries of what's possible with AI-powered coding and content creation.