found a model aggregator worth writing down: grsai. one key, and behind it both image models (gpt-image-2, the whole nano-banana family, 1k/2k/4k) and llms (gemini 2.5 and 3.x, gpt-5.4, gpt-5.5). the dashboard counts credits and bills in rubles, which is the actual reason it’s interesting to me.

images run 600 to 18000 credits a shot, somewhere between 2 kopecks and 1.8 rubles. text is 0.25 to 27 rubles per million tokens depending on the model. failed generations give the credits back.

at those numbers illustration stops being a budget line. an image per lesson across a whole course costs less than lunch, which is exactly what i wanted to try on the school platform.

volume gets cheap though, picking what to generate doesn’t. a predictable concept still takes the same amount of thinking it always did.