[PARTIALLY SOLVED] Gemini models overloading with token windows of less than 20?

I’ve been using Gemini 1.5 Flash for quite a while now with very few lag, and maybe a few isolated errors. Starting yesterday, I’ve been getting many 503 Errors, Model is Overloaded immediately after sending prompts. The API now only responds less than 25% of the time.

Is there any solution to fix this error?

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I have the same issue for about 15 hours. Also I think around less than 40% of requests is successful. It’s returning “503 - service unavailable” sometimes, so I think this is 100% issue on Google side.

Not exactly sure, but probably this is because of new Gemini version, which was dropped recently :rofl:

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facing same issue on all gemini modal i tried my self learning project is stopped due to this.

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Same issue, I think something is wrong on Google side

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You are right man, my whole user base is irritated sie to this. I am also facing same problem for last 15-20 hrs.
Does anyone contacted gemini ai support??

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Same here. If anybody finds a fix please post it here

Gemini changelog says the most recent update was the Gemini iPhone app, I don’t think this is directly related to the issue, though it is possible that it is indirectly overloading Gemini’s system. :face_with_diagonal_mouth:

[IMPORTANT]

I think I found the fix!

Try using Gemini’s experimental model “gemini-exp-1114”. I believe that Google allocated too many resources to the experimental model, possibly due to an imminent update.

Please tell me if you have any issues with the experimental model.

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Does this model also have the same free tier as flash-1.5? Like 1500 RPD

No, unfortunately, it has a 50 RPD Limit like other Pro models.

for some reason i have max usage but i can still use my application…?

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I have the same (quota reached), so the fix did not help :frowning:

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I used this in my project andI have a interview and just now this is happening🥲

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I think now all good guys

at least last 5 hours

I have the same problem. Since Friday evening I’ve been getting a 503 error message all the time.