Data stored at rest in the customer selected location remains at rest in that location , independent of the Generative AI on Vertex AI endpoint called by that customer's request.
ML processing
Machine learning (ML) processing for Generative AI on Vertex AI services occurs within the specific region or multi-region where the request is made.
For any regional endpoint not explicitly listed in the following tables, such as those in the Middle East, there is no guarantee that ML processing occurs at a specific location. These endpoints support older models that don't offer ML processing guarantees.
ML processing for Google Cloud models
United States
Model name
US multi-region
Gemini 2.5 Flash Image (
gemini-2.5-flash-image
)
Gemini 2.5 Flash-Lite (
gemini-2.5-flash-lite
)
Gemini 2.5 Pro (
gemini-2.5-pro
)
Gemini 2.5 Flash (
gemini-2.5-flash
)
Gemini 2.0 Flash (
gemini-2.0-flash
)
Gemini 2.0 Flash-Lite (
gemini-2.0-flash-lite
)
Tuning for Gemini 2.5 Flash-Lite (
gemini-2.5-flash-lite
)Tuning for Gemini 2.5 Pro (
gemini-2.5-pro
)Tuning for Gemini 2.5 Flash (
gemini-2.5-flash
)Tuning for Gemini 2.0 Flash (
gemini-2.0-flash-001
)Tuning for Gemini 2.0 Flash-Lite (
gemini-2.0-flash-lite-001
)Gemini Embeddings (
gemini-embedding-001
)Embeddings for Text (
text-embedding-004
)Embeddings for Text (
text-embedding-005
)Embeddings for Text (
text-multilingual-embedding-002
)Embeddings for Multimodal
Imagen 2 (
imagegeneration@005
)Chirp 3: Transcription (
chirp_3
)Chirp 3: HD Voices
Chirp 3: Instant Custom Voice
Canada
Model name
Montréal (northamerica-northeast1)
Gemini 2.5 Flash Image (
gemini-2.5-flash-image
)
Gemini 2.5 Flash-Lite (
gemini-2.5-flash-lite
)
Gemini 2.5 Pro (
gemini-2.5-pro
)
Gemini 2.5 Flash , 1M (
gemini-2.5-flash
)
Gemini 2.0 Flash (
gemini-2.0-flash
)
Gemini 2.0 Flash-Lite (
gemini-2.0-flash-lite
)
Gemini Embeddings (
gemini-embedding-001
)Embeddings for Text (
text-embedding-004
)Embeddings for Text (
text-embedding-005
)Embeddings for Text (
text-multilingual-embedding-002
)Embeddings for Multimodal
Imagen 2 (
imagegeneration@005
)Chirp 3: Transcription (
chirp_3
)Chirp 2: Transcription (
chirp_2
)Chirp 3: HD Voices
Chirp 3: Instant Custom Voice
Europe
| * | EU multi-region | Paris, France (europe-west9) | London, United Kingdom (europe-west2) | Frankfurt, Germany (europe-west3) | Eemshaven, Netherlands (europe-west4) |
|---|---|---|---|---|---|
Gemini 2.5 Flash Image ( gemini-2.5-flash-image
) |
* | * | * | ||
Gemini 2.5 Flash, 1M ( gemini-2.5-flash
) |
* | * | * | ||
Gemini 2.5 Flash, 128k ( gemini-2.5-flash
) |
* | * | * | * | |
Tuning for Gemini 2.5 Flash ( gemini-2.5-flash
) |
* | ||||
Gemini 2.5 Pro ( gemini-2.5-pro
) |
* | ||||
Tuning for Gemini 2.5 Pro ( gemini-2.5-pro
) |
* | ||||
Gemini 2.5 Flash-Lite ( gemini-2.5-flash-lite
) |
* | ||||
Tuning for Gemini 2.5 Flash-Lite ( gemini-2.5-flash-lite
) |
* | ||||
Gemini 2.0 Flash ( gemini-2.0-flash-001
) |
* | ||||
Tuning for Gemini 2.0 Flash ( gemini-2.0-flash-001
) |
* | ||||
Gemini 2.0 Flash-Lite ( gemini-2.0-flash-lite-001
) |
* | ||||
Tuning for Gemini 2.0 Flash-Lite ( gemini-2.0-flash-lite-001
) |
* | ||||
Gemini Embeddings ( gemini-embedding-001
) |
* | ||||
Embeddings for Text ( text-embedding-004
) |
* | * | * | ||
Embeddings for Text ( text-embedding-005
) |
* | * | * | ||
Embeddings for Text ( text-multilingual-embedding-002
) |
* | * | * | ||
| Embeddings for Multimodal | * | ||||
Imagen 2 ( imagegeneration@005
) |
* | ||||
Chirp 3: Transcription ( chirp_3
) |
* | * | * | ||
Chirp 2: Transcription ( chirp_2
) |
* | * | * | * | |
Gemini 2.5 Flash TTS ( gemini-2.5-flash-tts
) |
* | * | * | ||
Gemini 2.5 Flash TTS ( gemini-2.5-pro-tts
) |
* | * | * | ||
| Chirp 3: HD Voices | * | * | * | ||
| Chirp 3: Instant Custom Voice | * | * | * |
Asia Pacific
| * | Tokyo, Japan (asia-northeast1) | Sydney, Australia (australia-southeast1) | Mumbai, India (asia-south1) | Singapore (asia-southeast1) | Seoul, Korea (asia-northeast3) |
|---|---|---|---|---|---|
Gemini 2.5 Flash Image ( gemini-2.5-flash-image
) |
* | * | * | * | * |
Gemini 2.5 Flash, 1M ( gemini-2.5-flash
) |
* | * | * | * | * |
Gemini 2.5 Flash, 128k ( gemini-2.5-flash
) |
* | * | * | * | * |
Gemini 2.5 Pro ( gemini-2.5-pro
) |
|||||
Gemini 2.5 Pro, 64k ( gemini-2.5-pro
) |
* | ||||
Gemini 2.5 Flash-Lite ( gemini-2.5-flash-lite
) |
|||||
Gemini 2.0 Flash ( gemini-2.0-flash-001
) |
|||||
Gemini 2.0 Flash-Lite ( gemini-2.0-flash-lite-001
) |
|||||
Gemini Embeddings ( gemini-embedding-001
) |
* | ||||
Embeddings for Text ( text-embedding-004
) |
* | ||||
Embeddings for Text ( text-embedding-005
) |
* | ||||
Embeddings for Text ( text-multilingual-embedding-002
) |
* | ||||
| Embeddings for Multimodal | |||||
Imagen 2 ( imagegeneration@005
) |
|||||
Chirp 3: Transcription ( chirp_3
) |
* | * | * | * | * |
Chirp 2: Transcription ( chirp_2
) |
* | * | * | * | * |
Gemini 2.5 Flash TTS ( gemini-2.5-flash-tts
) |
* | * | * | * | * |
Gemini 2.5 Flash TTS ( gemini-2.5-pro-tts
) |
* | * | * | * | * |
| Chirp 3: HD Voices | * | * | * | * | * |
| Chirp 3: Instant Custom Voice | * | * | * | * | * |
ML processing for Google Cloud partner models
United States
| US multi-region | |
|---|---|
| Anthropic's Claude Sonnet 4.5 | |
| Anthropic's Claude Opus 4.1 | |
| Anthropic's Claude Haiku 4.5 | |
| Anthropic's Claude Opus 4 | |
| Anthropic's Claude Sonnet 4 | |
| Anthropic's Claude 3.7 Sonnet | |
| Anthropic's Claude 3.5 Haiku | |
| Anthropic's Claude 3 Haiku | |
| Mistral Medium 3 | |
| Mistral OCR (25.05) | |
| Mistral Small 3.1 (25.03) | |
| Mistral Large (24.07) | |
| Codestral 2 | |
| Codestral (24.05) |
Europe
| * | EU multi-region | Belgium (europe-west1) | Netherlands (europe-west4) | |
|---|---|---|---|---|
| Anthropic's Claude Sonnet 4.5 | * | * | * | |
| Anthropic's Claude Opus 4.1 | * | * | * | * |
| Anthropic's Claude Haiku 4.5 | * | * | * | |
| Anthropic's Claude Opus 4 | * | * | * | |
| Anthropic's Claude Sonnet 4 | * | * | * | |
| Anthropic's Claude 3.7 Sonnet | * | * | * | |
| Anthropic's Claude 3.5 Haiku | * | * | * | |
| Anthropic's Claude 3 Haiku | * | * | * | |
| Mistral Medium 3 | * | * | * | |
| Mistral OCR (25.05) | * | * | * | |
| Mistral Small 3.1 (25.03) | * | * | * | |
| Mistral Large (24.07) | * | * | * | |
| Codestral 2 | * | * | * | |
| Codestral (24.05) | * | * | * |
Asia Pacific
| Singapore (asia-southeast1) | Taiwan (asia-east1) | |
|---|---|---|
|
Anthropic's Claude Sonnet 4.5
|
||
|
Anthropic's Claude Opus 4.1
|
||
|
Anthropic's Claude Haiku 4.5
|
||
|
Anthropic's Claude Opus 4
|
||
|
Anthropic's Claude Sonnet 4
|
||
|
Anthropic's Claude 3.7 Sonnet
|
||
|
Anthropic's Claude 3.5 Haiku
|
||
|
Anthropic's Claude 3 Haiku
|
||
|
Anthropic's Claude 3 Opus
|
||
|
Mistral Medium 3
|
||
|
Mistral OCR (25.05)
|
||
|
Mistral Small 3.1 (25.03)
|
||
|
Mistral Large (24.07)
|
||
|
Codestral 2
|
||
|
Codestral (24.05)
|
ML processing for Google Cloud open models
United States
| US multi-region | |
|---|---|
| DeepSeek-V3.1 | |
| DeepSeek R1 (0528) | |
| Llama 4 Maverick 17B-128E (Preview) | |
| Llama 4 Scout 17B-16E (Preview) | |
| Llama 3.3 70B (Preview) | |
| Llama 3.2 90B (Preview) | |
| Llama 3.1 405B | |
| Llama 3.1 70B (Preview) | |
| Llama 3.1 8B (Preview) | |
| Multilingual E5 Small | |
| Multilingual E5 Large |
Europe
| * | EU multi-region | Belgium (europe-west1) | Netherlands (europe-west4) |
|---|---|---|---|
| DeepSeek-V3.1 | * | ||
| DeepSeek R1 (0528) | * | ||
| Llama 4 Maverick 17B-128E (Preview) | |||
| Llama 4 Scout 17B-16E (Preview) | |||
| Llama 3.3 70B (Preview) | * | * | * |
| Llama 3.2 90B (Preview) | * | * | * |
| Llama 3.1 405B | * | * | * |
| Llama 3.1 70B (Preview) | * | * | * |
| Llama 3.1 8B (Preview) | * | * | * |
| Multilingual E5 Small | * | * | * |
| Multilingual E5 Large | * | * | * |
Asia Pacific
| Singapore (asia-southeast1) | Taiwan (asia-east1) | |
|---|---|---|
|
DeepSeek-V3.1
|
||
|
DeepSeek R1 (0528)
|
||
|
Llama 4 Maverick 17B-128E (Preview)
|
||
|
Llama 4 Scout 17B-16E (Preview)
|
||
|
Llama 3.3 70B (Preview)
|
||
|
Llama 3.2 90B (Preview)
|
||
|
Llama 3.1 405B
|
||
|
Llama 3.1 70B (Preview)
|
||
|
Llama 3.1 8B (Preview)
|
What's next
- Learn about Google Cloud regions .
-
Learn more about security controls by feature .
-
Learn about the models that provide Generative AI on Vertex AI support. See Generative AI foundational model reference .
-
Learn about Vertex AI locations .
