# BGE Reranker V2 M3 API Pricing

As of October 10, 2026, BGE Reranker V2 M3 costs $0.01 per 1M tokens on Novita AI. It has an 8,000-token context window and returns up to 8,000 tokens per response.

- Page: https://models.litellm.ai/models/bge-reranker-v2-m3
- LiteLLM model name: `novita/baai/bge-reranker-v2-m3`
- Context window: 8,000 tokens
- Max output: 8,000 tokens
- Added to LiteLLM: January 2026
- 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 |
|---|---|---|---|---|---|---|---|
| Novita AI | `novita/baai/bge-reranker-v2-m3` | $0.01 | $0.01 | – | – | – | 8K |

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="novita/baai/bge-reranker-v2-m3",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does BGE Reranker V2 M3 cost?

BGE Reranker V2 M3 costs $0.01 per 1M tokens on Novita AI.

### What is the context window of BGE Reranker V2 M3?

BGE Reranker V2 M3 has an 8,000-token context window and returns up to 8,000 tokens per response.

### Which providers offer BGE Reranker V2 M3?

BGE Reranker V2 M3 is available from Novita AI through LiteLLM, using the model name novita/baai/bge-reranker-v2-m3.

### How do I call BGE Reranker V2 M3 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="novita/baai/bge-reranker-v2-m3", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/rerank from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add BGE Reranker V2 M3?

BGE Reranker V2 M3 was added to LiteLLM's model price file in January 2026.

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