Databricks schedules DeepSeek V4 Flash (0731) for retirement
The DeepSeek V4 Flash (0731) model is scheduled for retirement on Databricks. Learn about the replacement and how to find affected workloads.
O que mudou
The DeepSeek V4 Flash (0731) model in Foundation Model APIs reaches its end of lifecycle and will be completely removed from the environment.
Use cases
Imagine you have applications and endpoints integrated with this specific version of DeepSeek. With support ending, these pipelines will stop working unless migrated.
- Schedule the migration to the recommended new version.
- Map which users and endpoints still rely on the legacy model.
- Prevent production interruptions by updating API calls in time.
How to use
Identify which routines and endpoints in your organization still depend on the deprecated model by running a SQL query against the system catalog.
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 '%deepseek-v4-flash%'
GROUP BY eu.requester, se.endpoint_name, se.entity_name
ORDER BY request_count DESC
What happens in this code:
- Joins endpoint usage telemetry with served entities from the system catalog.
- Filters by the name of the model scheduled for retirement.
- Groups by requester and endpoint to aggregate request volume and token consumption.
- Orders the results to highlight the most active endpoints requiring urgent migration.
Limitations and requirements
DeepSeek V4 Flash (0731) on pay-per-token is scheduled for retirement on November 5, 2026. The recommended replacement version is DeepSeek V4.1 Flash.
- foundation model apis
- deepseek
- model serving
- ai_query
DeepSeek V4 Flash (0731) is scheduled for retirement
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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