Nemotron 3.5 Super VL API Pricing
- Input / output
- $0.081 / $0.4725 per 1M tokens
- Cache read
- $0.0135 / 1M
- Context
- 1M tokens
- Max output
- 236K tokens
As of October 31, 2026, Nemotron 3.5 Super VL costs $0.081 per 1M input tokens and $0.4725 per 1M output tokens on Kyma API, with cache reads at $0.0135 per 1M tokens. It has a 1,048,576-token context window and returns up to 235,929 tokens per response.
Nemotron 3.5 Super VL 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 | Cache read | Context |
|---|---|---|---|---|---|
| Kyma API | kyma/nemotron-3.5-super-vl | $0.081 | $0.4725 | $0.0135 | 1M |
What Nemotron 3.5 Super VL costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Kyma API | $0.3982 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Kyma API | $0.9045 |
Nemotron 3.5 Super VL cost calculator
At Kyma API's price ($0.081 input, $0.4725 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $3.17 a day, about $95.17 a month. Change the numbers for your workload, or compare it with other models.
- Per request
- $0.0003172
- Per day
- $3.17
- Per month (30 days)
- $95.17
Nemotron 3.5 Super VL features
Input: text, image. Output: text.
- Function calling
- Structured output
- Image input
- PDF input
- Reasoning
- Prompt caching
Use Nemotron 3.5 Super VL with LiteLLM
Call Nemotron 3.5 Super VL 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="kyma/nemotron-3.5-super-vl",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: nemotron-3.5-super-vl
litellm_params:
model: kyma/nemotron-3.5-super-vl
# 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 $LITELLM_API_KEY" \
-d '{
"model": "nemotron-3.5-super-vl",
"messages": [{"role": "user", "content": "Hello!"}]
}'Nemotron 3.5 Super VL FAQ
How much does Nemotron 3.5 Super VL cost?
Nemotron 3.5 Super VL costs $0.081 per 1M input tokens and $0.4725 per 1M output tokens on Kyma API, with cache reads at $0.0135 per 1M tokens.
What is the context window of Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL has a 1,048,576-token context window and returns up to 235,929 tokens per response.
Which providers offer Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL is available from Kyma API through LiteLLM, using the model name kyma/nemotron-3.5-super-vl.
How do I call Nemotron 3.5 Super VL with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="kyma/nemotron-3.5-super-vl", 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 Nemotron 3.5 Super VL support?
Nemotron 3.5 Super VL supports function calling, structured output, image input, reasoning and prompt caching. It does not support PDF input.
When did LiteLLM add Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL was added to LiteLLM's model price file on October 30, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.
LiteLLM docs: Kyma API.
Provider pages: Kyma API.