Amazon Bedrock (Runtime API) error
Amazon Bedrock 429 ModelNotReadyException: what it means and how to fix it
429 ModelNotReadyExceptionRetry? YesLast verified 1 documented fix2 sources
What it means
The model specified in the request is not ready to serve inference requests. The AWS SDK will automatically retry the operation up to 5 times.
Causes
- Model not yet ready to serve inference requests
How to fix it
- Fix 1.
Let the AWS SDK retry automatically (up to 5 times); see Retry behavior in the AWS SDKs and Tools reference guide to configure automatic retries.
More Amazon Bedrock errors
All 22 Amazon Bedrock errorsHTTP 429 at other providers
Compare 429 across providers429 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 rate_limit_exceededRetry? YesGemini API429 quota_exceededRetry? YesGemini API429 too_many_requestsRetry? YesGemini API429 RESOURCE_EXHAUSTEDRetry? YesGemini API
FAQ
What does the Amazon Bedrock error "429 ModelNotReadyException" mean?
The model specified in the request is not ready to serve inference requests. The AWS SDK will automatically retry the operation up to 5 times.
How do I fix Amazon Bedrock "429 ModelNotReadyException"?
Let the AWS SDK retry automatically (up to 5 times); see Retry behavior in the AWS SDKs and Tools reference guide to configure automatic retries.
Should I retry Amazon Bedrock "429 ModelNotReadyException"?
Yes. The official docs treat this error as retryable.
Which other AI APIs return HTTP 429?
Per their official error docs: 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), Gemini API (429 rate_limit_exceeded; 429 quota_exceeded; 429 too_many_requests; 429 RESOURCE_EXHAUSTED), 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 2 sources: Amazon Bedrock's official docs and official SDK repositories.
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