Nvidia Nemotron Nano 12B V2 API Pricing
As of October 10, 2026, Nvidia Nemotron Nano 12B V2 costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI. It has a 131,072-token context window and returns up to 131,072 tokens per response.
- Input
- $0.20 / 1M tokens
- Output
- $0.20 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Nvidia Nemotron Nano 12B V2 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 |
|---|---|---|---|---|
| Fireworks AI | fireworks_ai/accounts/fireworks/models/nvidia-nemotron-nano-12b-v2 | $0.20 | $0.20 | 128K |
What Nvidia Nemotron Nano 12B V2 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Fireworks AI | $0.50 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Fireworks AI | $2.04 |
Use Nvidia Nemotron Nano 12B V2 with LiteLLM
Call Nvidia Nemotron Nano 12B V2 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="fireworks_ai/accounts/fireworks/models/nvidia-nemotron-nano-12b-v2",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: nvidia-nemotron-nano-12b-v2
litellm_params:
model: fireworks_ai/accounts/fireworks/models/nvidia-nemotron-nano-12b-v2
api_key: os.environ/FIREWORKS_AI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "nvidia-nemotron-nano-12b-v2",
"messages": [{"role": "user", "content": "Hello!"}]
}'Nvidia Nemotron Nano 12B V2 FAQ
How much does Nvidia Nemotron Nano 12B V2 cost?
Nvidia Nemotron Nano 12B V2 costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI.
What is the context window of Nvidia Nemotron Nano 12B V2?
Nvidia Nemotron Nano 12B V2 has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Nvidia Nemotron Nano 12B V2?
Nvidia Nemotron Nano 12B V2 is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/nvidia-nemotron-nano-12b-v2.
How do I call Nvidia Nemotron Nano 12B V2 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/nvidia-nemotron-nano-12b-v2", 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 Nvidia Nemotron Nano 12B V2?
Nvidia Nemotron Nano 12B V2 was added to LiteLLM's model price file in December 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: Fireworks AI.
Provider pages: Fireworks AI.
