Nvidia/nemotron 3.5 Super Vl:thinking API
NVIDIA's Nvidia/nemotron 3.5 Super Vl:thinking costs $0.150 per million input tokens and $0.450 per million output tokens from 1 independent provider. Each request through the OpenAI-compatible API goes to the offer with the lowest estimated charge that meets your rules.
- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send nvidia/nemotron-3.5-super-vl:thinking as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.
About Nvidia/nemotron 3.5 Super Vl:thinking
Nvidia/nemotron 3.5 Super Vl:thinking is a language model from NVIDIA. It takes text and images and gives text. The largest offer takes 262,144 input tokens. One job can generate up to 235,929 tokens. 1 independent provider quotes it on this exchange now.
Facts
- Model name
- nvidia/nemotron-3.5-super-vl:thinking
- Maker
- NVIDIA
- Context window
- 262.1K tokens
- Input price
- $0.150 per million tokens
- Output price
- $0.450 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Fortytwo: us, $0.150 input and $0.450 output per million tokens, $0.015 cache read per million tokens, 262.1K tokens of context
Request
curl https://router.inference.ai.exchange/v1/chat/completions \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nvidia/nemotron-3.5-super-vl:thinking",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is Nvidia/nemotron 3.5 Super Vl:thinking?
- Nvidia/nemotron 3.5 Super Vl:thinking is a language model from NVIDIA.
- How much does Nvidia/nemotron 3.5 Super Vl:thinking cost?
- Offers now ask $0.150 per million input tokens and $0.450 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
- What is the context length of Nvidia/nemotron 3.5 Super Vl:thinking?
- The largest offer takes 262,144 input tokens. One job can generate up to 235,929 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Nvidia/nemotron 3.5 Super Vl:thinking do?
- Its providers list Vision, Reasoning effort, JSON object, JSON schema, Presence penalty, Top-p sampling, Text, Tools.
- What inputs and outputs does Nvidia/nemotron 3.5 Super Vl:thinking support?
- Text · Images → Text.
- Which providers serve Nvidia/nemotron 3.5 Super Vl:thinking?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Nvidia/nemotron 3.5 Super Vl:thinking?
- Send "nvidia/nemotron-3.5-super-vl:thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Nvidia/nemotron 3.5 Super Vl:thinking listed?
- The exchange first listed it on 11/13/2026. This is not its release date.
Related pages
- Nemotron 3.5 Lightning
- Llama 3.3 Nemotron Super 49B V1
- Nemotron 3.5 Content Safety
- Nemotron: Nano 9B V2
- Nemotron 3 Nano 30B a3b
- Nemotron 3.5 Lightning:thinking
- Set up a client
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- Quickstart
- llms.txt: the index of every page, as Markdown
- llms-full.txt: every page in one file
- This page as Markdown