What this error means
After hitting OpenRouter API rate limit ($5 spending cap), switching models fails with 'model not allowed' error for ALL models even after limit resets is a OpenRouter failure pattern reported for developers trying to fix openrouter rate limit failover behavior where model switch breaks completely after hitting $5 free tier spending cap. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #1405 on openclaw repo (2026-01-21). Shows OpenRouter rate limit handling gap — critical for any service using OpenRouter as fallback proxy. Also corroborated by issue #9035 on BerriAI/litellm showing 429 rate limit errors from OpenRouter FREE models not being honored. Commercial value high: many services use OpenRouter as load balancer between providers. Mapping: OpenRouter proxy/routing error → LiteLLM category (per context-dependent mapping rule).
Common causes
- GitHub issue #1405 on openclaw repo (2026-01-21). Shows OpenRouter rate limit handling gap — critical for any service using OpenRouter as fallback proxy. Also corroborated by issue #9035 on BerriAI/litellm showing 429 rate limit errors from OpenRouter FREE models not being honored. Commercial value high: many services use OpenRouter as load balancer between providers. Mapping: OpenRouter proxy/routing error → LiteLLM category (per context-dependent mapping rule).
Quick fixes
- Confirm the exact error signature matches
After hitting OpenRouter API rate limit ($5 spending cap), switching models fails with 'model not allowed' error for ALL models even after limit resets. - Check the OpenRouter account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
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.