# BGE Base En V1.5 API Pricing

As of October 10, 2026, BGE Base En V1.5 costs $0.008 per 1M input tokens on Together AI. It has a 512-token context window.

- Page: https://models.litellm.ai/models/bge-base-en-v1.5
- LiteLLM model name: `together_ai/BAAI/bge-base-en-v1.5`
- Context window: 512 tokens
- Added to LiteLLM: October 2025
- 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 |
|---|---|---|---|---|---|---|---|
| Together AI | `together_ai/BAAI/bge-base-en-v1.5` | $0.008 | $0 | – | – | – | 512 |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Together AI: $0.04

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="together_ai/BAAI/bge-base-en-v1.5",
    input=["hello world"],
)
```

## FAQ

### How much does BGE Base En V1.5 cost?

BGE Base En V1.5 costs $0.008 per 1M input tokens on Together AI.

### What is the context window of BGE Base En V1.5?

BGE Base En V1.5 has a 512-token context window.

### Which providers offer BGE Base En V1.5?

BGE Base En V1.5 is available from Together AI through LiteLLM, using the model name together_ai/BAAI/bge-base-en-v1.5.

### How do I call BGE Base En V1.5 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="together_ai/BAAI/bge-base-en-v1.5", 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 BGE Base En V1.5?

BGE Base En V1.5 was added to LiteLLM's model price file in October 2025.

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