Summary
Google Cloud Vertex AI offers DeepSeek models as managed MaaS (Model-as-a-Service) open model APIs, but the catalog has no publishers/deepseek-ai/models/ entries. DeepSeek models exist in the catalog under Bedrock (deepseek.v3.2, deepseek.r1-v1:0) and Together/Baseten (deepseek-ai/DeepSeek-V3, deepseek-ai/DeepSeek-R1) naming conventions, but Vertex MaaS entries are entirely absent.
Missing Models
| Model ID |
Display Name |
Context |
Max Output |
Stage |
publishers/deepseek-ai/models/deepseek-v3.2-maas |
DeepSeek V3.2 |
163,840 |
65,536 |
GA |
publishers/deepseek-ai/models/deepseek-v3.1-maas |
DeepSeek V3.1 |
— |
— |
Listed |
publishers/deepseek-ai/models/deepseek-r1-0528-maas |
DeepSeek R1 (0528) |
— |
— |
Listed |
V3.2 specs are confirmed from its model card page. V3.1 and R1-0528 model IDs follow the same -maas naming convention and are listed on the official MaaS overview but their detail pages could not be scraped for exact specs.
Suggested Catalog Entry (V3.2)
"publishers/deepseek-ai/models/deepseek-v3.2-maas": {
"format": "openai",
"flavor": "chat",
"displayName": "DeepSeek V3.2",
"max_input_tokens": 163840,
"max_output_tokens": 65536,
"available_providers": [
"vertex"
]
}
Notes:
- Format is
"openai" — Vertex MaaS models use OpenAI-compatible request payloads (API model string: deepseek-ai/deepseek-v3.2-maas)
- Pricing omitted — the Vertex pricing page lists generic
deepseek-v3 at $0.50/$1.50 per 1M tokens, but this may not map exactly to deepseek-v3.2-maas; verify from individual model pricing before setting
- DeepSeek R1-0528 should include
"reasoning": true when added
Sources
Verification Checklist
| Check |
Status |
Detail |
| Cross-source |
✅ |
V3.2 confirmed on partner listing page, model card page (exact ID + specs), AND console URL (publisher path); V3.1 and R1-0528 confirmed on partner listing page |
| Already fixed |
✅ |
grep for publishers/deepseek in model_list.json returns zero matches |
| ID format |
✅ |
Follows -maas suffix convention from existing publishers/meta/models/llama-3.3-70b-instruct-maas |
| Duplicate check |
✅ |
No open issue covers DeepSeek Vertex MaaS entries |
Verification Notes
| Field |
Source |
Notes |
Model ID deepseek-v3.2-maas |
Vertex model card + console URL |
GA stage, API format: deepseek-ai/deepseek-v3.2-maas |
| Context 163,840 / output 65,536 |
Vertex model card |
Confirmed for V3.2 only |
format: "openai" |
Vertex MaaS docs |
"MaaS models expect OpenAI-compatible request payloads" |
| V3.1 and R1-0528 IDs |
Inferred from naming convention |
Same -maas suffix pattern; listed on partner models page but detail pages not scraped |
| DeepSeek-OCR |
Excluded |
OCR-only model, not a chat/completion model |
Local Files Inspected
packages/proxy/schema/model_list.json — grep for publishers/deepseek returns 0 matches; existing DeepSeek entries exist under Bedrock (deepseek.v3.2 at line ~9186) and Together/Baseten (deepseek-ai/DeepSeek-V3 at line ~9931) naming conventions
{
"kind": "missing_model",
"provider": "vertex",
"models": ["publishers/deepseek-ai/models/deepseek-v3.2-maas", "publishers/deepseek-ai/models/deepseek-v3.1-maas", "publishers/deepseek-ai/models/deepseek-r1-0528-maas"],
"status": "active",
"model_specs": {
"publishers/deepseek-ai/models/deepseek-v3.2-maas": {
"format": "openai",
"flavor": "chat",
"displayName": "DeepSeek V3.2",
"max_input_tokens": 163840,
"max_output_tokens": 65536,
"available_providers": ["vertex"]
},
"publishers/deepseek-ai/models/deepseek-v3.1-maas": {
"format": "openai",
"flavor": "chat",
"displayName": "DeepSeek V3.1",
"available_providers": ["vertex"]
},
"publishers/deepseek-ai/models/deepseek-r1-0528-maas": {
"format": "openai",
"flavor": "chat",
"displayName": "DeepSeek R1 (0528)",
"reasoning": true,
"available_providers": ["vertex"]
}
},
"source_urls": [
"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-partner-models",
"https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/deepseek/deepseek-v32",
"https://cloud.google.com/vertex-ai/generative-ai/pricing"
]
}
Summary: Three DeepSeek MaaS models are available on Vertex AI but have no catalog entries. V3.2 has fully confirmed specs (GA, 163K context, 65K output); V3.1 and R1-0528 are listed but need detail page verification for exact specs.
Summary
Google Cloud Vertex AI offers DeepSeek models as managed MaaS (Model-as-a-Service) open model APIs, but the catalog has no
publishers/deepseek-ai/models/entries. DeepSeek models exist in the catalog under Bedrock (deepseek.v3.2,deepseek.r1-v1:0) and Together/Baseten (deepseek-ai/DeepSeek-V3,deepseek-ai/DeepSeek-R1) naming conventions, but Vertex MaaS entries are entirely absent.Missing Models
publishers/deepseek-ai/models/deepseek-v3.2-maaspublishers/deepseek-ai/models/deepseek-v3.1-maaspublishers/deepseek-ai/models/deepseek-r1-0528-maasV3.2 specs are confirmed from its model card page. V3.1 and R1-0528 model IDs follow the same
-maasnaming convention and are listed on the official MaaS overview but their detail pages could not be scraped for exact specs.Suggested Catalog Entry (V3.2)
Notes:
"openai"— Vertex MaaS models use OpenAI-compatible request payloads (API model string:deepseek-ai/deepseek-v3.2-maas)deepseek-v3at $0.50/$1.50 per 1M tokens, but this may not map exactly todeepseek-v3.2-maas; verify from individual model pricing before setting"reasoning": truewhen addedSources
deepseek-v3.2-maas, 163,840 context, 65,536 max output, GA stagepublishers/deepseek-aiVerification Checklist
publishers/deepseekinmodel_list.jsonreturns zero matches-maassuffix convention from existingpublishers/meta/models/llama-3.3-70b-instruct-maasVerification Notes
deepseek-v3.2-maasdeepseek-ai/deepseek-v3.2-maasformat: "openai"-maassuffix pattern; listed on partner models page but detail pages not scrapedLocal Files Inspected
packages/proxy/schema/model_list.json— grep forpublishers/deepseekreturns 0 matches; existing DeepSeek entries exist under Bedrock (deepseek.v3.2at line ~9186) and Together/Baseten (deepseek-ai/DeepSeek-V3at line ~9931) naming conventions{ "kind": "missing_model", "provider": "vertex", "models": ["publishers/deepseek-ai/models/deepseek-v3.2-maas", "publishers/deepseek-ai/models/deepseek-v3.1-maas", "publishers/deepseek-ai/models/deepseek-r1-0528-maas"], "status": "active", "model_specs": { "publishers/deepseek-ai/models/deepseek-v3.2-maas": { "format": "openai", "flavor": "chat", "displayName": "DeepSeek V3.2", "max_input_tokens": 163840, "max_output_tokens": 65536, "available_providers": ["vertex"] }, "publishers/deepseek-ai/models/deepseek-v3.1-maas": { "format": "openai", "flavor": "chat", "displayName": "DeepSeek V3.1", "available_providers": ["vertex"] }, "publishers/deepseek-ai/models/deepseek-r1-0528-maas": { "format": "openai", "flavor": "chat", "displayName": "DeepSeek R1 (0528)", "reasoning": true, "available_providers": ["vertex"] } }, "source_urls": [ "https://docs.cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-partner-models", "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/deepseek/deepseek-v32", "https://cloud.google.com/vertex-ai/generative-ai/pricing" ] }Summary: Three DeepSeek MaaS models are available on Vertex AI but have no catalog entries. V3.2 has fully confirmed specs (GA, 163K context, 65K output); V3.1 and R1-0528 are listed but need detail page verification for exact specs.