Gemini CLI 429 RESOURCE_EXHAUSTED on Google AI Free/Pro Account

What this error means

429 RESOURCE_EXHAUSTED on Google AI Pro account after full local reset is a Gemini CLI failure pattern reported for developers trying to fix gemini cli 429 rate limit error on free or pro accounts. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

21 reactions, 22 comments. Reproduced after full local reset (cleared config, re-authenticated). Users report error appears immediately on first prompt, suggesting server-side quota tracking issue rather than actual usage.

Common causes

• Gemini CLI users hit 429 RESOURCE_EXHAUSTED immediately after fresh install or local reset, even on accounts with available quota. Error persists across model selections and configuration changes.
• 21 reactions, 22 comments. Reproduced after full local reset (cleared config, re-authenticated). Users report error appears immediately on first prompt, suggesting server-side quota tracking issue rather than actual usage.

Quick fixes

1. Confirm the exact error signature matches 429 RESOURCE_EXHAUSTED on Google AI Pro account after full local reset.
2. Check the Gemini CLI 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.

Sources checked

• https://github.com/gemini-cli/gemini-cli/issues/22545

Evidence note: 21 reactions, 22 comments. Reproduced after full local reset (cleared config, re-authenticated). Users report error appears immediately on first prompt, suggesting server-side quota tracking issue rather than actual usage.

Related errors

• Gemini CLI 403 PERMISSION_DENIED
• Gemini CLI extremely slow / stuck

FAQ

What should I check first?

Start with the exact 429 RESOURCE_EXHAUSTED on Google AI Pro account after full local reset text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed Gemini CLI 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 429 RESOURCE_EXHAUSTED on Google AI Pro account after full local reset.