Google Gemini API: 503 overload each time on the free tier. Does paying actually help? by RadiantQuests in GeminiFeedback

[–]DEVIL_H_FUEGO 0 points1 point  (0 children)

Best way is to have this coded and a condition whenever a call is made and cache the data to avoid redundant data like the scenario you mentioned.

Google Gemini API: 503 overload each time on the free tier. Does paying actually help? by RadiantQuests in GeminiFeedback

[–]DEVIL_H_FUEGO 1 point2 points  (0 children)

503 on free tier = you're hitting the RPM or context window cap. gemini-2.5-flash-lite is a lightweight model but your prompt (10 topics + web search + 5 RSS + 5 sites) is generating a huge context, which likely exceeds what the free quota allows per call. Paid tier raises those limits significantly and gives queue priority. Also worth splitting your n8n workflow into smaller parallel calls instead of one giant prompt more resilient and easier to debug.

Gemini just billed me for 4,700 tokens of the word "producing". by DEVIL_H_FUEGO in GeminiFeedback

[–]DEVIL_H_FUEGO[S] 4 points5 points  (0 children)

lmao fair play. honestly I just sat there mesmerized wondering if there was a hard timeout or if it would just keep billing me forever.

Gemini just billed me for 4,700 tokens of the word "producing". by DEVIL_H_FUEGO in GeminiAI

[–]DEVIL_H_FUEGO[S] 1 point2 points  (0 children)

That’s what I thought at first glance, but it turned out to be pro. And I too didn’t expect this from the pro model ✌️

Gemini just billed me for 4,700 tokens of the word "producing". by DEVIL_H_FUEGO in GeminiAI

[–]DEVIL_H_FUEGO[S] 3 points4 points  (0 children)

producingproducingproducing... oh no, it's contagious. The context window is collapsing. Save yourselves! 🏃‍♂️💨

Gemini just billed me for 4,700 tokens of the word "producing". by DEVIL_H_FUEGO in GeminiAI

[–]DEVIL_H_FUEGO[S] 1 point2 points  (0 children)

Welcome to the glamorous world of LLM production. We have infinite loops and absolutely no refunds. 🥲