OpenAI Batch API Returns 404 'model_not_found' for GPT-5.x Models

What this error means

OpenAI Batch API returns 404 with GPT-5.x models: model_not_found gpt-5-mini-2025-08-07-batch is a OpenAI API failure pattern reported for developers trying to fix openai batch api 404 error when using gpt-5.x models. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

OpenAI Batch API returns 404 with model_not_found for gpt-5-mini-2025-08-07-batch. Users confirm token has access to GPT-5-mini. /v1/responses works but /v1/chat/completions batch fails. OpenAI docs list GPT-5.x as supporting batch API.

Common causes

• The Batch API automatically appends -batch suffix to model names, but GPT-5.x batch variants do not exist. This breaks batch processing workflows for developers who upgraded from GPT-4.x to GPT-5.x. The /v1/responses endpoint works fine, only /v1/chat/completions batch is affected.
• OpenAI Batch API returns 404 with model_not_found for gpt-5-mini-2025-08-07-batch. Users confirm token has access to GPT-5-mini. /v1/responses works but /v1/chat/completions batch fails. OpenAI docs list GPT-5.x as supporting batch API.

Quick fixes

1. Confirm the exact error signature matches OpenAI Batch API returns 404 with GPT-5.x models: model_not_found gpt-5-mini-2025-08-07-batch.
2. Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
3. Compare the failing environment with a known working setup, then change one configuration value at a time.

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

1. Capture the exact error message and the command, editor action, or request that triggered it.
2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
3. Review the source evidence below and compare it with your environment.
4. Apply one change at a time and rerun the smallest failing action.
5. 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.

Sources checked

• https://github.com/openai/openai-python/issues/3071

Evidence note: OpenAI Batch API returns 404 with model_not_found for gpt-5-mini-2025-08-07-batch. Users confirm token has access to GPT-5-mini. /v1/responses works but /v1/chat/completions batch fails. OpenAI docs list GPT-5.x as supporting batch API.

Related errors

• OpenAI API model not found GPT-5
• OpenAI Batch API status_code 404

FAQ

What should I check first?

Start with the exact OpenAI Batch API returns 404 with GPT-5.x models: model_not_found gpt-5-mini-2025-08-07-batch text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed OpenAI API workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without OpenAI Batch API returns 404 with GPT-5.x models: model_not_found gpt-5-mini-2025-08-07-batch.