Imagen 4.0 Fast Generate 001 retirement date: August 17, 2026
Retired on August 17, 2026; requests to imagen-4.0-fast-generate-001 now fail.
- Provider
- Google (Gemini API)
- Model IDs affected
imagen-4.0-fast-generate-001- Shutdown date
- August 17, 2026
- Replacement
- gemini-nano-banana-2.1
- Platforms
- Dates apply to the Gemini API and are the earliest possible shutdown dates Google publishes. If you use Gemini through another platform, check that platform's own schedule.
- Source
- Official Google (Gemini API) deprecations page (data last changed 2026-11-02, re-checked daily)
Migrating from Imagen 4.0 Fast Generate 001
Not yet reviewed. We haven't written model-specific migration notes for Imagen 4.0 Fast Generate 001 yet. Start with the provider's official guidance and the replacement's model page, and use this general checklist:
- Search your code, config and environment variables for
imagen-4.0-fast-generate-001. - Re-run your evaluation set against gemini-nano-banana-2.1 before switching traffic.
- Recount tokens with the new model's tokenizer and re-check
max_tokens, context fit and cost. - Check tool calling, structured output and stop sequences on your real prompts.
- Dates apply to the Gemini API and are the earliest possible shutdown dates Google publishes. If you use Gemini through another platform, check that platform's own schedule.
Check your code before Aug 17
Also shutting down on August 17, 2026
- Imagen 4.0 Generate 001
imagen-4.0-generate-001 - Imagen 4.0 Ultra Generate 001
imagen-4.0-ultra-generate-001
All model retirements · All Google (Gemini API) deprecations
FAQ
When was Imagen 4.0 Fast Generate 001 retired?
Imagen 4.0 Fast Generate 001 (imagen-4.0-fast-generate-001) was retired on the Gemini API on August 17, 2026, according to the official Gemini API deprecations page. Requests to it now fail.
What should I use instead of imagen-4.0-fast-generate-001?
The recommended replacement is gemini-nano-banana-2.1.
What happens to imagen-4.0-fast-generate-001 requests after the shutdown date?
After a model is retired, API requests to it return an error. Move traffic to the replacement and test it on your own prompts before the date.
Does this date apply to Amazon Bedrock, Vertex AI or Azure?
Dates apply to the Gemini API and are the earliest possible shutdown dates Google publishes. If you use Gemini through another platform, check that platform’s own schedule.