Note: A deep dive into why Nano Banana Pro doesn't support the seed parameter and practical workarounds for when you've found a look you love and want to replicate it in bulk. Here's a real piece of user feedback: "I modified an image and I'm thrilled with the result. Now I want to generate a…
Author's Note: A detailed guide on how to use Nano Banana Pro to generate scientific mechanism diagrams, pathway maps, experimental flowcharts, and other academic illustrations. Includes full prompt templates and API call code. It costs only $0.05/image via the APIYI platform. Creating an SCI paper illustration used to take days—either hunting for a designer or…
Gemini 3.1 Pro Preview has added a medium thinking level, which is one of the biggest differences compared to the previous Gemini 3 Pro. You can now precisely control the model's reasoning depth across three levels—low, medium, and high—and the high mode even activates the Deep Think Mini capabilities. Core Value: By the end of…
Many developers get confused when they see the model name gemini-3.1-pro-preview-customtools: What does "customtools" actually mean? How is it different from the standard gemini-3.1-pro-preview? This 5-minute guide will clear everything up for you. Core Value: By the end of this post, you'll understand when to use the standard version versus the customtools version, and how…
Gemini 3.1 Pro Preview has become a hot topic right after its release. For many developers, the first question is: Can it generate images? The answer is no. Gemini 3.1 Pro Preview is a text-only output multimodal reasoning model, not an image generation model. Core Value: By the end of this post, you'll completely understand…
Author's Note: This guide details how to call the Nano Banana Pro API using Google's native Gemini format. By using the APIYI platform, it costs only $0.05 per call—44% cheaper than KIE.ai—and supports 1K/2K/4K resolution image generation. When calling the Nano Banana Pro API, many developers' first instinct is to use KIE.ai. But actually, there's…
Gemini 3.1 Pro Preview vs. Claude Opus 4.6: which one should you choose? This is the dilemma every AI developer faces in early 2026. We're diving into a comprehensive comparison across 10 core dimensions, using official benchmarks and third-party reviews to help you make a data-driven decision. Core Value: By the end of this post,…
Gemini 3.1 Pro Preview and Gemini 3.0 Pro Preview are priced exactly the same—Input $2.00, Output $12.00 / million tokens. So the question is: where exactly is 3.1 better than 3.0? Is it worth the switch? The answer is: Absolutely, and there's really no reason not to switch. In this post, we'll use real benchmark…
Great news—Gemini 3.1 Pro Preview is now live on APIYI and available for API calls. The model name is gemini-3.1-pro-preview, with prompt pricing at $2.00/1M tokens and completion pricing at $12.00/1M tokens—exactly the same as Gemini 3.0 Pro Preview. But don't let the price fool you; the performance is on a whole different level. Gemini…
Google just dropped a new model on AI Studio: Gemini 3.1 Pro Preview. The model ID is gemini-3.1-pro-preview, and the official description calls it "Our latest SOTA reasoning model with unprecedented depth and nuance, and powerful multimodal understanding and coding capabilities." It's interesting that Gemini 3 Pro is still sporting the "Preview" tag without a…
