Google Gemini 2.5 Flash retired in Databricks
The Google Gemini 2.5 Flash model has been retired in Databricks. Migrate workloads to Gemini 3.1 Pro or Gemini 3.5 Flash.
O que mudou
The Google Gemini 2.5 Flash model has been discontinued and is no longer available for inference requests in Foundation Model APIs, for both pay-per-token and provisioned throughput modalities.
Use cases
Imagine you have AI applications using Gemini 2.5 Flash to process text and images. With the model retirement, these requests will fail unless updated.
- Identify which endpoints and users still depend on retired models.
- Migrate applications to newer recommended models.
How to use
Run a SQL query against the system catalog to find workloads using the retired model and identify their owners.
SELECT
eu.requester,
se.endpoint_name,
se.entity_name,
COUNT(*) AS request_count,
SUM(eu.input_token_count) AS total_input_tokens,
SUM(eu.output_token_count) AS total_output_tokens,
MIN(eu.request_time) AS first_request,
MAX(eu.request_time) AS last_request
FROM system.serving.endpoint_usage eu
JOIN system.serving.served_entities se
ON eu.served_entity_id = se.served_entity_id
WHERE LOWER(se.entity_name) LIKE '%gemini-2.5-flash%'
GROUP BY eu.requester, se.endpoint_name, se.entity_name
ORDER BY request_count DESC
What happens in this code:
- Joins endpoint usage data with served entities from the system schema.
- Filters by the name of the retired model.
- Groups by requester and endpoint name to count requests and token usage.
Limitations and requirements
The model is completely inaccessible. Recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash.
- foundation model apis
- model serving
- generative ai
- ai_query
Google Gemini 2.5 Flash is retired
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
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