# Minicpm V 4.5 API Pricing

As of October 10, 2026, Minicpm V 4.5 costs $0.658 per 1M input tokens and $1.11 per 1M output tokens on Nebius AI Studio. It has a 32,000-token context window and returns up to 32,000 tokens per response.

- Page: https://models.litellm.ai/models/minicpm-v-4_5
- LiteLLM model name: `nebius/openbmb/MiniCPM-V-4_5`
- Context window: 32,000 tokens
- Max output: 32,000 tokens
- Added to LiteLLM: September 3, 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 |
|---|---|---|---|---|---|---|---|
| Nebius AI Studio | `nebius/openbmb/MiniCPM-V-4_5` | $0.658 | $1.11 | – | – | – | 32K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Nebius AI Studio: $1.871

## Features

Supported: Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="nebius/openbmb/MiniCPM-V-4_5",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Minicpm V 4.5 cost?

Minicpm V 4.5 costs $0.658 per 1M input tokens and $1.11 per 1M output tokens on Nebius AI Studio.

### What is the context window of Minicpm V 4.5?

Minicpm V 4.5 has a 32,000-token context window and returns up to 32,000 tokens per response.

### Which providers offer Minicpm V 4.5?

Minicpm V 4.5 is available from Nebius AI Studio through LiteLLM, using the model name nebius/openbmb/MiniCPM-V-4_5.

### How do I call Minicpm V 4.5 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="nebius/openbmb/MiniCPM-V-4_5", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Minicpm V 4.5 support?

Minicpm V 4.5 supports image input.

### When did LiteLLM add Minicpm V 4.5?

Minicpm V 4.5 was added to LiteLLM's model price file on September 3, 2026.

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