V0 1.5 Lg API Pricing
As of October 10, 2026, V0 1.5 Lg costs $15.00 per 1M input tokens and $75.00 per 1M output tokens on V0. It has a 512,000-token context window and returns up to 512,000 tokens per response.
- Input
- $15.00 / 1M tokens
- Output
- $75.00 / 1M tokens
- Context window
- 512,000 tokens
- Max output
- 512,000 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
V0 1.5 Lg 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 |
|---|---|---|---|---|
| V0 | v0/v0-1.5-lg | $15.00 | $75.00 | 512K |
What V0 1.5 Lg costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| V0 | $67.50 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| V0 | $165.00 |
V0 1.5 Lg features
- Function calling
- Parallel tool calls
- Image input
Use V0 1.5 Lg with LiteLLM
Call V0 1.5 Lg 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="v0/v0-1.5-lg",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: v0-1.5-lg
litellm_params:
model: v0/v0-1.5-lg
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "v0-1.5-lg",
"messages": [{"role": "user", "content": "Hello!"}]
}'V0 1.5 Lg FAQ
How much does V0 1.5 Lg cost?
V0 1.5 Lg costs $15.00 per 1M input tokens and $75.00 per 1M output tokens on V0.
What is the context window of V0 1.5 Lg?
V0 1.5 Lg has a 512,000-token context window and returns up to 512,000 tokens per response.
Which providers offer V0 1.5 Lg?
V0 1.5 Lg is available from V0 through LiteLLM, using the model name v0/v0-1.5-lg.
How do I call V0 1.5 Lg with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="v0/v0-1.5-lg", 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 V0 1.5 Lg support?
V0 1.5 Lg supports function calling, parallel tool calls and image input.
When did LiteLLM add V0 1.5 Lg?
V0 1.5 Lg was added to LiteLLM's model price file in July 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: V0.
Provider pages: V0.
