Llama 3.3 Nemotron Super 49B V1 API

NVIDIA's Llama 3.3 Nemotron Super 49B V1, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request 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 llama-3.3-nemotron-super-49b-v1 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.

Facts

Model name: llama-3.3-nemotron-super-49b-v1
Maker: NVIDIA
Context window: 128K tokens
Input price: $0.150 per million tokens
Output price: $0.150 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.150 input and $0.150 output per million tokens, $0.150 cache read per million tokens, 128K 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": "llama-3.3-nemotron-super-49b-v1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Llama 3.3 Nemotron Super 49B V1?: Llama 3.3 Nemotron Super 49B V1 is a model from NVIDIA.
How much does Llama 3.3 Nemotron Super 49B V1 cost?: Offers now ask $0.150 per million input tokens and $0.150 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 Llama 3.3 Nemotron Super 49B V1?: The largest offer takes 128,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Llama 3.3 Nemotron Super 49B V1 do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Llama 3.3 Nemotron Super 49B V1 support?: Text → Text.
Which providers serve Llama 3.3 Nemotron Super 49B V1?: 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 Llama 3.3 Nemotron Super 49B V1?: Send "llama-3.3-nemotron-super-49b-v1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Llama 3.3 Nemotron Super 49B V1 listed?: The exchange first listed it on 10/10/2026. This is not its release date.

Llama 3.3 Nemotron Super 49B V1 API

Facts

Providers

Request

Questions

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