Google Gemini API error
Gemini API 429 RESOURCE_EXHAUSTED: what it means and how to fix it
429 RESOURCE_EXHAUSTEDRetry? YesLast verified 4 documented fixes3 sources
What it means
generateContent API: you have exceeded one of the API rate limits (RPM, TPM, RPD, spend, and so on). Spend-based limits are evaluated over a rolling 10-minute window per usage tier and also return this error.
Causes
- Sending too many requests
- Using too many tokens
- Exceeding spend-based limits for your billing history and tier
How to fix it
- Fix 1.
Verify that you are within the model's rate limits (viewable in Google AI Studio).
- Fix 2.
Wait and retry after a short period, using exponential backoff with jitter.
- Fix 3.
Reduce the rate or size of your requests, for example smaller context windows or shorter outputs.
- Fix 4.
Request a rate limit increase if needed.
Seen in coding agents
These coding agent messages pass this Gemini API error through. Each page has the agent-specific fix.
More Gemini API errors
All 30 Gemini API errorsHTTP 429 at other providers
Compare 429 across providers429 ThrottlingExceptionRetry? YesAmazon Bedrock429 ModelNotReadyExceptionRetry? YesAmazon Bedrock429 rate_limit_errorRetry? YesAnthropic API429 rate_limit_error (enforced_spend_limit_reached)Retry? NoAnthropic API429 Too Many Requests (Rate limit is exceeded)Retry? YesAzure OpenAI429 Too Many Requests (System is experiencing high demand)Retry? YesAzure OpenAI429 Too Many Requests (temporary rate limit adjustment)Retry? YesAzure OpenAI429 Too Many Requests (token budget exceeded by request parameters)Retry? Not statedAzure OpenAI429 Too Many RequestsRetry? YesCohere API429 - Rate Limit ReachedRetry? Not statedDeepSeek API429 Too Many RequestsRetry? YesGroq API429 Too many requestsRetry? YesMistral API
FAQ
What does the Gemini API error "429 RESOURCE_EXHAUSTED" mean?
generateContent API: you have exceeded one of the API rate limits (RPM, TPM, RPD, spend, and so on). Spend-based limits are evaluated over a rolling 10-minute window per usage tier and also return this error.
How do I fix Gemini API "429 RESOURCE_EXHAUSTED"?
There are 4 documented fixes. Start with the first: Verify that you are within the model's rate limits (viewable in Google AI Studio).
Should I retry Gemini API "429 RESOURCE_EXHAUSTED"?
Yes. The official docs treat this error as retryable.
Which other AI APIs return HTTP 429?
Per their official error docs: Amazon Bedrock (429 ThrottlingException; 429 ModelNotReadyException), Anthropic API (429 rate_limit_error; 429 rate_limit_error (enforced_spend_limit_reached)), Azure OpenAI (429 Too Many Requests (Rate limit is exceeded); 429 Too Many Requests (System is experiencing high demand); 429 Too Many Requests (temporary rate limit adjustment); 429 Too Many Requests (token budget exceeded by request parameters)), Cohere API (429 Too Many Requests), DeepSeek API (429 - Rate Limit Reached), Groq API (429 Too Many Requests), Mistral API (429 Too many requests), OpenAI API (429 credit_balance_exhausted; 429 Rate limit reached for requests; 429 rate_limit_error slow_down; 429 organization_spend_limit_exceeded; 429 project_spend_limit_exceeded; 429 organization_usage_limit_exceeded), OpenRouter (429 rate_limit_exceeded), Vertex AI (429 RESOURCE_EXHAUSTED; 429 Resource exhausted, please try again later; 429 Too many requests. Exceeded the Provisioned Throughput), xAI API (429 Too Many Requests).
Sources
Last verified against 3 sources: Gemini API's official docs and official SDK repositories.
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