OpenAI API / OpenAI API

OpenAI SDK sends conflicting model field causing 400 Bad Request on Azure OpenAI (gpt-image-1.5)

Fix 400 error when deploying gpt-image-1.5 on Azure OpenAI with mismatched deployment and model names Includes evidence for OpenAI API troubleshooting demand.

Source-backed Last updated May 23, 2026 2 sources Needs local verification

Category: OpenAI API
Error signature: Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5']
Quick fix: Check the build output, project root, and deployment platform configuration before redeploying.
Updated: May 23, 2026
Verification status: Source-backed
Evidence: 2 public source URLs

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for OpenAI API, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'] is a OpenAI API failure pattern reported for developers trying to fix 400 error when deploying gpt-image-1.5 on azure openai with mismatched deployment and model names. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #2892 and PR #2905 confirm SDK sends model field in request body after extracting it for URL routing, causing Azure backend to reject deployment-name mismatches. Labels=bug, 4 comments. Category mapping: directly impacts paid Azure OpenAI users with billing and deployment failure. Tier bonus +1 applied.

Common causes

GitHub issue #2892 and PR #2905 confirm SDK sends model field in request body after extracting it for URL routing, causing Azure backend to reject deployment-name mismatches. Labels=bug, 4 comments. Category mapping: directly impacts paid Azure OpenAI users with billing and deployment failure. Tier bonus +1 applied.

Quick fixes

Confirm the exact error signature matches Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'].
Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
Check the build output, project root, and deployment platform configuration before redeploying.

Platform/tool-specific checks

Verify the command, editor, extension, or API client that produced the error.
Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

Capture the exact error message and the command, editor action, or request that triggered it.
Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
Review the source evidence below and compare it with your environment.
Apply one change at a time and rerun the smallest failing action.
Keep the working fix documented for the team or deployment environment.

How to prevent it

Keep provider/tool configuration documented.
Record non-secret diagnostics such as tool version, provider name, model name, and command path.
Add a lightweight check before CI or production workflows depend on the tool.

Diagnostic flow for this page

Match Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'] exactly before applying the quick fix.
Compare the failing environment with OpenAI API versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'] mean in OpenAI API?

Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'] indicates the workflow described by "OpenAI SDK sends conflicting model field causing 400 Bad Request on Azure OpenAI (gpt-image-1.5)" failed in a OpenAI API context. Start by confirming the exact signature and the component that emitted it.

What should I check first for Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5']?

Check whether this cause matches your environment: GitHub issue #2892 and PR #2905 confirm SDK sends model field in request body after extracting it for URL routing, causing Azure backend to reject deployment-name mismatches. Labels=bug, 4 comments. Category mapping: directly impacts paid Azure OpenAI users with billing and deployment failure. Tier bonus +1 applied.

Is the Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5'] guidance source-backed?

The "OpenAI SDK sends conflicting model field causing 400 Bad Request on Azure OpenAI (gpt-image-1.5)" page is labeled source-backed. It has 2 public source URLs from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5']?

For "OpenAI SDK sends conflicting model field causing 400 Bad Request on Azure OpenAI (gpt-image-1.5)", avoid applying "Check the build output, project root, and deployment platform configuration before redeploying." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging Model not supported with Responses API. Supported models are: ['gpt-image-1', 'gpt-image-1-mini', 'gpt-image-1.5']?

For "OpenAI SDK sends conflicting model field causing 400 Bad Request on Azure OpenAI (gpt-image-1.5)", collect the failing OpenAI API command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.