gpt-chat-latest broken on Azure OpenAI

Question

gpt-chat-latest broken on Azure OpenAI

Radin Najafi 20

It's been days since 5.5 chat came out, and it's still unusable on Azure

ErrorThe server had an error processing your request. Sorry about that! You can retry your request, or contact us through an Azure support request at: https://go.microsoft.com/fwlink/?linkid=2213926 if you keep seeing this error. (Please include the request ID e2f29f31-ddf7-4aa4-8d80-4ea67a9dfb23 in your email.)

0 comments

Answer accepted by question author

Thanmayi Godithi 11,905 Microsoft External Staff Moderator

Hi Radin Najafi,

You're right that this is a backend issue on Azure's side — the "The server had an error processing your request" 500 comes from the model-serving layer, and with multiple people reporting it (thanks Alexander) and it persisting for a week, there's nothing in your config or code that will fix it.

Workaround to try now:

gpt-chat-latest is an auto-updating alias. Right after a rollout, that alias can point at a build that's mis-synced in some regions. Try deploying the specific dated gpt-5.5-chat version (not the -latest alias), and/or a different region — if either works, you're unblocked while the alias stabilizes.
Also compare streaming vs non-streaming and a different API version — new models sometimes 500 on one path early on.
As a temporary fallback, gpt-5-chat / gpt-4.1 can keep your workload running.

If it fails across all regions and interfaces with the pinned version too, that confirms the service-side scope , please share the details requested over Private message.

0 comments

1 additional answer

Your answer

Answer 1

Somil Jain 665

hi Radin Najafi,
If the deployment consistently returns generic server-side failures with request IDs, and retries over multiple days still fail, this does sound more like a backend Azure OpenAI service/deployment issue rather than an application bug on your side.

A few things worth checking:

Verify the model/deployment name exactly matches the currently supported Azure OpenAI deployment identifier.

Test from:

Azure AI Foundry

  REST API
  
     and Playground to confirm whether all entry points fail.
     
     Check:
     
        region availability,
        
           quota limits,
           
              and model availability in your subscription/region.
              
              Try redeploying the model to:
              
                 a different deployment name,
                 
                    or another Azure region if available.
                    
                    Review:
                    
                       Azure Service Health
                       
                          Azure OpenAI status for ongoing incidents.

Since the error includes a request ID and persists across retries, Microsoft Support will likely need that request ID to trace the backend failure logs internally.

This especially happens sometimes shortly after new model rollouts when capacity, regional availability, or deployment synchronization is still stabilizing.
If my answer is useful for you, please hit Accept the answer to support me.

Thank you so much,

Radin Najafi 20 Reputation points

2026-05-08T20:26:20.8033333+00:00

Oh no I know it's a backend issue on Azure's side, but I couldn't find anyone else reporting this or any other support options in Azure support.
Somil Jain 665 Reputation points

2026-05-08T21:04:18.63+00:00
Since this already appears to be a backend Azure OpenAI issue rather than a deployment/configuration mistake, the best next step is to gather enough information for Microsoft to trace the failure internally.

A few things that may help isolate or temporarily work around it:

Create a completely new deployment of "gpt-chat-latest" with a different deployment name.

Test the same deployment from:

Azure AI Foundry,

Playground,

REST API,

and SDK to confirm the issue is consistent everywhere.

Try deploying the model in another Azure region if your subscription allows it.

Compare behavior between:

streaming vs non-streaming requests,

short vs long prompts,

and different API versions.

Also collect:

request IDs,

timestamps (UTC),

subscription region,

deployment name,

API version,

and exact error responses.

If all deployments fail consistently across regions and interfaces, it strongly points to a Microsoft-side service issue that requires Azure Support escalation.

You can open a support request from:

Azure Portal → Help + Support → Create a support request

Include several request IDs so Azure engineering can trace the backend failures directly.
Schönwald, Alexander 120 Reputation points

2026-05-13T06:20:02.3733333+00:00

We have the same issue. Is there a data when this will be fixed? Thank you in advance.
Radin Najafi 20 Reputation points

2026-05-13T18:25:03.2233333+00:00

Yeah it's been about a week, insane.