Vertex AI Model Garden is Google Cloud's catalog of pre-trained models. You can use Google's own models (Gemini / Imagen / Chirp), third-party models (Anthropic Claude), and open-source models (Llama / Mistral / Gemma / DeepSeek and more, 100+ total) through a unified interface.
| Category | Key Models | Use Cases |
|---|---|---|
| Google foundation models | Gemini 2.0 Flash / Pro / Ultra | General-purpose LLM |
| Google image generation | Imagen 3 | Text → image |
| Google audio | Chirp 2 (STT), Journey (TTS) | Speech processing |
| Google video | Veo | Text → video |
| Anthropic | Claude Opus 4 / Sonnet 4 / Haiku | High-quality chat and code |
| Meta (open) | Llama 3.3 / 4 (70B / 405B) | Self-hosted LLM |
| Mistral | Mistral Large / Codestral | European LLM and code |
| Google open | Gemma 2 / CodeGemma | Lightweight OSS LLM |
| DeepSeek | DeepSeek R1 | Reasoning-focused OSS |
| Embeddings | text-embedding-005、text-multilingual-embedding-002 | RAG / search |
from anthropic import AnthropicVertex
client = AnthropicVertex(region="us-east5", project_id="my-project")
message = client.messages.create(
model="claude-opus-4@20251020",
max_tokens=1024,
messages=[{"role": "user", "content": "Name 3 benefits of GCP"}],
)
print(message.content[0].text)# Console: Model Garden → Llama 3.3 70B → Deploy
# Or via API
from google.cloud import aiplatform as ai
model = ai.Model.upload(
display_name="llama-3-70b",
artifact_uri="gs://vertex-model-garden-public/llama-3-70b",
serving_container_image_uri="us-docker.pkg.dev/vertex-ai/prediction/text-generation-inference-cu125.0-1.ubuntu2204.py310",
)
endpoint = model.deploy(
machine_type="g2-standard-12",
accelerator_type="NVIDIA_L4",
accelerator_count=1,
min_replica_count=1,
)
prediction = endpoint.predict(instances=[{"prompt": "Hello", "max_tokens": 100}])| Method | Target Models | Use Cases |
|---|---|---|
| Supervised Tuning | Gemini / Llama | Unify response style |
| RLHF | Gemini | Alignment via human evaluation |
| Distillation | Gemini Pro → Flash | Lightweighting large models |
| LoRA / Adapter | OSS | Lightweight, cost-efficient |
| Model | Input ($/M tok) | Output ($/M tok) |
|---|---|---|
| Gemini 2.0 Flash | $0.075 | $0.30 |
| Gemini 2.0 Pro | $1.25 | $5.00 |
| Claude Haiku 4 | $0.80 | $4.00 |
| Claude Sonnet 4 | $3.00 | $15.00 |
| Llama 3 70B (Endpoint) | g2-standard-12 ~$2/h | — |
from vertexai.preview.vision_models import ImageGenerationModel
model = ImageGenerationModel.from_pretrained("imagen-3.0-generate-002")
images = model.generate_images(
prompt="A futuristic city at sunset, photorealistic",
number_of_images=4,
aspect_ratio="16:9",
)
images[0].save("output.png")| Item | Model Garden | AWS Bedrock | Azure AI Foundry |
|---|---|---|---|
| Google models | Excellent (Gemini / Imagen) | — | — |
| Anthropic | Excellent | Excellent | — |
| Meta Llama | Excellent | Excellent | Good |
| Mistral | Excellent | Excellent | Excellent |
| OpenAI | — | — | Excellent (Azure OpenAI) |
| 100+ OSS models | Excellent | Good | Good |
What is Model Garden?
A catalog of pre-trained models on Vertex AI. You can use Google models (Gemini / Imagen / Chirp), third-party models (Claude / Llama / Mistral), and open models (Gemma / DeepSeek, etc.) through a unified interface.
Can I use Anthropic Claude as well?
Yes. Claude Opus 4 / Sonnet 4 / Haiku are available on Vertex AI. The interface matches Anthropic's direct API, plus you get GCP integration benefits like CMEK and VPC SC.
Are Llama / Mistral / DeepSeek available too?
Over 100 open models are selectable. With 1-click deploy, you can serve inference as a Vertex Endpoint. Fine-tuning is also supported.
What is Imagen?
Google's image generation model. Imagen 3 delivers photo-quality output. Pricing on the Vertex AI Imagen API starts at $0.04 per image.
What is Chirp?
Google's Universal Speech Model. Speech-to-Text in 100+ languages, with Chirp 2 substantially improving latency.
What is the pricing model?
Google models bill per token, third-party models follow vendor pricing, and open models bill per Endpoint instance hour (Spot instances give a 70% discount).
What fine-tuning options are available?
Supervised Tuning (Gemini / Llama), RLHF (select models), Distillation (large → small), and LoRA / Adapter (lightweight).
How does it compare to AWS Bedrock?
Bedrock offers AWS integration plus Anthropic / Meta / Mistral. Model Garden adds Google's own models (Gemini / Imagen / Chirp) and 100+ open models on top.
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Google Cloud is a trademark of Google LLC, and Claude is a trademark of Anthropic, PBC. For the latest information, see the official Model Garden page.
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