Last refreshed 2026-06-30. Next refresh: weekly.
Why use T5Gemma on GCP Vertex AI?
GCP Vertex AI offers T5Gemma with free input token pricing. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Input / 1M
Free
Output / 1M
Free
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install google-cloud-aiplatformAuth
export GOOGLE_CLOUD_PROJECT=...Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")Model ID
t5gemmaRequest example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("t5gemma")
response = model.generate_content("Hello")
print(response.text)Gotchas
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | Free |
| Output tokens | Free |
Capabilities
Function CallingTool UseStructured Outputs
About T5Gemma
T5Gemma is Google's open encoder-decoder model family based on Gemma 2, not a Gemma 3 proprietary decoder-only model.
FAQ
What does T5Gemma cost on GCP Vertex AI?
On GCP Vertex AI, T5Gemma costs $0 per 1M input tokens and $0 per 1M output tokens.
Who created T5Gemma?
T5Gemma was created by Google DeepMind as part of the T5Gemma model family.
Is T5Gemma open source?
T5Gemma has open weights under Gemma according to the seed data, but that does not necessarily mean an OSI-approved open-source license.
Model Specs
Released2025-07-09
Parameters2B
ArchitectureEncoder-Decoder