Text Embedding Large Exp 03 07 API Pricing
As of October 10, 2026, Text Embedding Large Exp 03 07 costs $0.10 per 1M input tokens on Google Vertex AI. It has an 8,192-token context window.
- Per 1M characters
- $0.025
- Input
- $0.10 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- March 2025
Text Embedding Large Exp 03 07 pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Per 1M chars | Input | Output | Context |
|---|---|---|---|---|---|
| Google Vertex AI | vertex_ai/text-embedding-large-exp-03-07 | $0.025 | $0.10 | $0 | 8K |
What Text Embedding Large Exp 03 07 costs in practice
Embedding 10,000 documents of 500 tokens each
| Google Vertex AI | $0.50 |
Use Text Embedding Large Exp 03 07 with LiteLLM
Call Text Embedding Large Exp 03 07 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/embeddings. LiteLLM tracks the cost of every request at these prices.
from litellm import embedding
response = embedding(
model="vertex_ai/text-embedding-large-exp-03-07",
input=["hello world"],
)model_list:
- model_name: text-embedding-large-exp-03-07
litellm_params:
model: vertex_ai/text-embedding-large-exp-03-07
vertex_project: os.environ/VERTEX_PROJECT
vertex_location: os.environ/VERTEX_LOCATIONcurl http://0.0.0.0:4000/v1/embeddings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "text-embedding-large-exp-03-07",
"input": "hello world"
}'Text Embedding Large Exp 03 07 FAQ
How much does Text Embedding Large Exp 03 07 cost?
Text Embedding Large Exp 03 07 costs $0.10 per 1M input tokens on Google Vertex AI.
What is the context window of Text Embedding Large Exp 03 07?
Text Embedding Large Exp 03 07 has an 8,192-token context window.
Which providers offer Text Embedding Large Exp 03 07?
Text Embedding Large Exp 03 07 is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/text-embedding-large-exp-03-07.
How do I call Text Embedding Large Exp 03 07 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/text-embedding-large-exp-03-07", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add Text Embedding Large Exp 03 07?
Text Embedding Large Exp 03 07 was added to LiteLLM's model price file in March 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Google Vertex AI.
Provider pages: Google Vertex AI.
