GrsAi API（APi aggregation platform）

  Nano Banana 2 API Guide: Ultra-Fast 4K Image Generation with Gemini 3.1 Flash — Only $0.065/Image Nano Banana 2 Officially Released: Google’s “Cost-Performance Revolution” in Image Generation Google really loves quietly releasing new models in the middle of the night. Right after Google DeepMind released Gemini 3.1 Pro, they launched another new model — Nano Banana 2 (Gemini 3.1 Flash Image). Nano Banana 2 is not just a simple iteration; Google has combined Pro-level studio-grade creative capabilities with Flash-level lightning speed, completely solving the pain point of “high quality means slow, high speed means blurry.” It has become the current best cost-performance image generation and editing model! In practical applications, Nano Banana 2’s response speed far exceeds Nano Banana Pro, while the image output resolution has been upgraded from the previous generation’s 2K to a maximum of 4K, capable of handling more complex prompt content. This article deeply analyzes the model...

  Have you used  Gemini 3.1 Pro   yet? Google says its reasoning ability has more than doubled compared to Gemini 3 Pro. Is it really that impressive? This article will comprehensively introduce the core capabilities of Gemini 3.1 Pro, how developers can call the Gemini 3.1 Pro API, and how ordinary users can quickly use it. Press enter or click to view image in full size I. Gemini 3.1 Pro Builds an All-Round Reasoning Brain What exactly does ARC-AGI-2 test, and what does 77% mean? Gemini 3.1 Pro achieved a score of 77.1% on the extremely challenging ARC-AGI-2 benchmark test, with reasoning performance more than doubled compared to the previous generation. Three months ago, Gemini 3 Pro scored 31.1%, which wasn’t bad at the time. But this time, 3.1 Pro directly reached 77.1%. In comparison, OpenAI’s o1 and GPT-5.2, which also focus on reasoning, only scored 52.9% on this test. This benchmark test does not assess knowledge reserves but reasoning ability. What makes this te...