# GTE Large En API Pricing

As of October 10, 2026, GTE Large En costs $0.13 per 1M input tokens on Databricks. It has an 8,192-token context window.

- Page: https://models.litellm.ai/models/gte-large-en
- LiteLLM model name: `databricks/databricks-gte-large-en`
- Context window: 8,192 tokens
- Added to LiteLLM: September 2024
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Databricks | `databricks/databricks-gte-large-en` | $0.13 | $0 | $0.13 | – | – | 8K |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Databricks: $0.65

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="databricks/databricks-gte-large-en",
    input=["hello world"],
)
```

## FAQ

### How much does GTE Large En cost?

GTE Large En costs $0.13 per 1M input tokens on Databricks.

### What is the context window of GTE Large En?

GTE Large En has an 8,192-token context window.

### Which providers offer GTE Large En?

GTE Large En is available from Databricks through LiteLLM, using the model name databricks/databricks-gte-large-en.

### How do I call GTE Large En with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="databricks/databricks-gte-large-en", 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 GTE Large En?

GTE Large En was added to LiteLLM's model price file in September 2024.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json