# L3 8B Lunaris V1 Turbo API Pricing

As of October 10, 2026, L3 8B Lunaris V1 Turbo costs $0.04 per 1M input tokens and $0.05 per 1M output tokens on DeepInfra. It has an 8,192-token context window and returns up to 8,192 tokens per response.

- Page: https://models.litellm.ai/models/l3-8b-lunaris-v1-turbo
- LiteLLM model name: `deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo`
- Context window: 8,192 tokens
- Max output: 8,192 tokens
- Added to LiteLLM: August 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 |
|---|---|---|---|---|---|---|---|
| DeepInfra | `deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo` | $0.04 | $0.05 | – | – | – | 8K |

## Cost examples

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

- DeepInfra: $0.105

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does L3 8B Lunaris V1 Turbo cost?

L3 8B Lunaris V1 Turbo costs $0.04 per 1M input tokens and $0.05 per 1M output tokens on DeepInfra.

### What is the context window of L3 8B Lunaris V1 Turbo?

L3 8B Lunaris V1 Turbo has an 8,192-token context window and returns up to 8,192 tokens per response.

### Which providers offer L3 8B Lunaris V1 Turbo?

L3 8B Lunaris V1 Turbo is available from DeepInfra through LiteLLM, using the model name deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo.

### How do I call L3 8B Lunaris V1 Turbo with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo", 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.

### When did LiteLLM add L3 8B Lunaris V1 Turbo?

L3 8B Lunaris V1 Turbo was added to LiteLLM's model price file in August 2025.

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