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

  1. 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.
  2. Check the OpenRouter account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  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.