Gemini 2.5 pro 503 error

Gemini API
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Hi Google AI team,

I need to raise a serious complaint about Gemini 2.5 Pro’s stability. The 503 “model overloaded” error has become constant, and it’s no longer just an occasional issue. Even during normal hours when usage shouldn’t be at peak, the system breaks with overload messages. This is not a rare hiccup anymore, it’s daily, frequent, and disruptive.

The problem is simple: if Gemini is marketed as a reliable, production-level model, then it should not collapse under regular use. Right now, it feels like paying or even relying on it is a gamble because users never know when the model will cut off mid-task and throw a 503. It’s frustrating, it kills productivity, and it makes the entire system unreliable.

The worst part is there’s no transparency, no server status page, no proper communication on capacity, no timeline for fixes. Just error messages that leave users stuck. If Google is positioning Gemini as a competitor to other LLMs, then stability should be the bare minimum, not an afterthought.

This isn’t a problem of user misuse, we’re just using the model normally. But the overloads punish legitimate users while making Gemini feel like an unstable beta, not a professional tool.

Please escalate this to the team seriously. If Google wants people to rely on Gemini, the infrastructure needs to support the demand. Otherwise, people will move to alternatives that don’t collapse under standard usage.

disappointed,

3 Likes
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Yes same problem with 2.5 flash ! almost 30% of the requests are 503 overloaded !!!

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Hi @Meik_Sui @junkx,

We appreciate you reporting this issue and understand that 503 errors can be disruptive, though they are often temporary.

We will escalate this issue to our internal engineering team.

In the meanwhile, to reduce the impact of these outages, you can try using an exponential backoff strategy for retrying requests. This involves gradually increasing the wait time between retries, which helps your application become more resilient by giving the server time to recover and preventing it from being overwhelmed.

or you can try alternative models like Gemini 2.5 Flash-Lite or Gemini 2.0 Flash as they may offer different performance and a more stable experience.

Thank you!