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.
- Input
- $0.04 / 1M tokens
- Output
- $0.05 / 1M tokens
- Context window
- 8,192 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- August 2025
L3 8B Lunaris V1 Turbo pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| DeepInfra | deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo | $0.04 | $0.05 | 8K |
What L3 8B Lunaris V1 Turbo costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $0.105 |
Use L3 8B Lunaris V1 Turbo with LiteLLM
Call L3 8B Lunaris V1 Turbo through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: l3-8b-lunaris-v1-turbo
litellm_params:
model: deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo
api_key: os.environ/DEEPINFRA_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "l3-8b-lunaris-v1-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'L3 8B Lunaris V1 Turbo 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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: DeepInfra.
Provider pages: DeepInfra.
