Last refreshed 2026-11-06. Next refresh: weekly.
Why use Gemini Omni 1.2 Flash on GCP Vertex AI?
GCP Vertex AI offers Gemini Omni 1.2 Flash with pay-as-you-go pricing at $1.50/1M input tokens. 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.
Compare Gemini Omni 1.2 Flash across 5 providers to find the best fit for your use caseInput / 1M
$1.50
Output / 1M
$12.00
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
gemini-omni-1.2-flashRequest 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("gemini-omni-1.2-flash")
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.
Compare Gemini Omni 1.2 Flash Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $1.50 | $12.00 |
| Vercel AI Gateway | $1.50 | $9.00 |
| OpenRouter | $1.50 | $9.00 |
| fal API | — | — |
| GCP Vertex AI | $1.50 | $12.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $12.00 |
Capabilities
VisionMultimodalAudio
About Gemini Omni 1.2 Flash
Gemini Omni 1.2 Flash is Google DeepMind's next-generation video generation and editing model, generally available November 5, 2026 on the Gemini API and Google Cloud. It generates and edits clips with native audio from 3 to 15 seconds (360p/720p/1080p/4K), supports multi-turn conversational editing, reference images/video/audio.
Get Started
Model Specs
Released2026-11-05