How to Use Gemini 2.5 Pro for Complex AI Tasks

TL;DR

Use Gemini 2.5 Pro 05-06 in Google AI Studio to analyze images and videos, generate self-contained web apps, execute code, call external tools, and retrieve current information through Google Search grounding. Its context window exceeds one million tokens, while adjustable temperature and structured output controls help tailor responses for creative, literal, or machine-readable tasks.

Transcript

Why do I have a photo of a tree here? More on that in just a second. So, Google just took their smartest AI model, Gemini 2.5 Pro, and made it even better. Now, confusingly, instead of calling it 2.6 Pro, it's still called Gemini 2.5 Pro, but they've added 0506 to the end, which signifies the date of the release. Anyways, this model is seriously im... Read More

Key Insights

• Gemini 2.5 Pro 05-06 was available in Google AI Studio at the time of recording. The presenter preferred AI Studio because it clearly listed the dated model version and allowed switching among several models, while the Gemini platform did not clearly identify whether its 2.5 Pro option was the latest release.
• The context window exceeds one million tokens, which the presenter equates to more than 700,000 words or about one hour of video. A YouTube video used as an application specification consumed roughly 14,000 tokens, leaving substantial context capacity for additional instructions, files, or iterative work.
• The temperature slider controls how literally or creatively Gemini responds. Moving it toward two permits more creativity and potentially less strict prompt adherence, while moving it left produces more literal processing. The demonstration retained the default temperature setting of one.
• Structured output forces responses into a specified format, such as JSON or a table with defined columns. AI Studio also offers code execution, function calling for external tools or APIs, and Google Search grounding for retrieving current information from the web.
• Gemini is multimodal and can interpret audio, images, and video. In the demonstration, it extracted requirements from a YouTube video containing a rough drawing and spoken explanation, even though the accompanying text prompt mentioned neither Japan nor earthquakes.
• The video-to-app workflow produced a standalone HTML earthquake visualization of Japan. Gemini identified requirements for a map, sidebar controls, click-triggered earthquakes, ripple animation, and impact calculations, then organized its approach into phases before generating the complete code.
• Gemini's image analysis identified a heavily camouflaged mossy leaf-tailed gecko on a tree trunk and supplied its scientific name. In a separate test, it analyzed visual features in a hiking photograph and concluded that the location was Joffre Lakes, probably the middle lake.
• Complex reasoning is presented as the main distinction among leading AI models because simple essays and basic questions are already handled well by many models. The presenter focuses Gemini tests on coding, mathematics, science, multimodal interpretation, interactive applications, visualizations, physics, animations, benchmarks, and hallucination.

Questions & Answers

Q: How do you access Gemini 2.5 Pro 05-06?

At the time of the recording, Gemini 2.5 Pro 05-06 was available in Google AI Studio. The model could be selected from the dropdown at the top right. Gemini models were also available at gemini.google.com, but the presenter said it was unclear whether the listed Gemini 2.5 Pro there was specifically the latest 05-06 version, so the demonstrations primarily used AI Studio.

Q: What controls are available for Gemini 2.5 Pro in AI Studio?

Google AI Studio provides a temperature slider and toggles for structured output, code execution, function calling, and Google Search grounding. Structured output can require JSON or a table with specified columns. Code execution lets Gemini run code, function calling lets it use external tools or APIs, and Search grounding lets it retrieve current information through Google.

Q: What does the Gemini temperature setting change?

The temperature setting changes how creatively or literally Gemini processes a prompt. According to the demonstration, moving the slider toward two allows greater creativity but may reduce strict adherence to the prompt. Moving it all the way left makes processing more literal. The presenter kept the control at its default value of one for the examples shown.

Q: How large is the Gemini 2.5 Pro context window?

Gemini 2.5 Pro has a context window exceeding one million tokens. The presenter describes that capacity as roughly more than 700,000 words or about one hour of video, and says it is approximately five times larger than what other leading models can accept at once. The sample YouTube video prompt occupied around 14,000 tokens.

Q: How can Gemini turn a video description into an app?

A user can record a video that combines a rough drawing with a spoken explanation of an application, upload it to YouTube, and provide the link to Gemini in AI Studio. In the example, the only written instruction was to place everything in one standalone HTML file. Gemini extracted the requirements, planned the implementation, and generated complete downloadable code.

Q: What application did Gemini create from the earthquake video?

Gemini created an interactive earthquake visualization of Japan in a standalone HTML file. It included a movable map, displayed cities, sidebar settings, click-triggered earthquakes, animated ripple effects, and impact calculations for cities. Lower earthquake magnitudes produced lower severity values, higher magnitudes produced greater severity, and changing the wave factor altered the ripple speed.

Q: How well did Gemini analyze the example images?

Gemini correctly identified a mossy leaf-tailed gecko camouflaged on a tree trunk and provided its scientific name after only a short thinking period. For a separate hiking photograph, it examined features such as turquoise water, steep tree-covered slopes, and glaciers, considered several possible locations, and concluded that the image showed Joffre Lakes, probably the middle lake.

Q: What coding project was Gemini asked to build?

Gemini was asked to build a Windows XP-style desktop containing three functional applications in one HTML file. Paint needed to open a new window with an interactive canvas. The video player needed a window where a user could enter a YouTube URL and press play. The calculator needed to open as a working calculator, using CSS, JavaScript, and HTML.

Summary & Key Takeaways

• Gemini 2.5 Pro 05-06 was available through Google AI Studio at the time of recording, while the version on the Gemini platform was unclear. AI Studio provides model selection, temperature controls, structured output, code execution, function calling, Google Search grounding, and a context window exceeding one million tokens for large multimodal prompts.

• A video prompt containing a rough sketch and spoken description was converted into a standalone HTML earthquake visualization of Japan. The generated application included a movable map, major cities, adjustable magnitude and wave settings, animated earthquake ripples, and calculated city impact levels that changed according to the selected earthquake magnitude and location.

• The model correctly identified a camouflaged mossy leaf-tailed gecko in a tree image and inferred that a hiking photograph showed Joffre Lakes, likely the middle lake. It also began generating a Windows XP-style desktop with Paint, a YouTube video player, and a working calculator using CSS, JavaScript, and HTML in one file.