Llama 3.3 Nemotron Super 49B V1.5 API Pricing
As of October 10, 2026, Llama 3.3 Nemotron Super 49B V1.5 costs $0.10 per 1M input tokens and $0.40 per 1M output tokens on DeepInfra. It has a 131,072-token context window and returns up to 131,072 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.40 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- October 2025
Llama 3.3 Nemotron Super 49B V1.5 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/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5 | $0.10 | $0.40 | 128K |
What Llama 3.3 Nemotron Super 49B V1.5 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $0.40 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| DeepInfra | $1.08 |
Llama 3.3 Nemotron Super 49B V1.5 features
- Function calling
Use Llama 3.3 Nemotron Super 49B V1.5 with LiteLLM
Call Llama 3.3 Nemotron Super 49B V1.5 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/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-3.3-nemotron-super-49b-v1.5
litellm_params:
model: deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5
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": "llama-3.3-nemotron-super-49b-v1.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 3.3 Nemotron Super 49B V1.5 FAQ
How much does Llama 3.3 Nemotron Super 49B V1.5 cost?
Llama 3.3 Nemotron Super 49B V1.5 costs $0.10 per 1M input tokens and $0.40 per 1M output tokens on DeepInfra.
What is the context window of Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 is available from DeepInfra through LiteLLM, using the model name deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5.
How do I call Llama 3.3 Nemotron Super 49B V1.5 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5", 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 Llama 3.3 Nemotron Super 49B V1.5 support?
Llama 3.3 Nemotron Super 49B V1.5 supports function calling.
When did LiteLLM add Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 was added to LiteLLM's model price file in October 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.
