Nemotron: Nano 9B V2 API

NVIDIA's Nemotron: Nano 9B V2, 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 nemotron-nano-9b-v2 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: nemotron-nano-9b-v2
Maker: NVIDIA
Context window: 131.1K tokens
Input price: $0.040 per million tokens
Output price: $0.160 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.040 input and $0.160 output per million tokens, $0.040 cache read per million tokens, 131.1K 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": "nemotron-nano-9b-v2",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Nemotron: Nano 9B V2?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does Nemotron: Nano 9B V2 cost?: Offers now ask $0.040 per million input tokens and $0.160 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 Nemotron: Nano 9B V2?: The largest offer takes 131,072 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Nemotron: Nano 9B V2 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 Nemotron: Nano 9B V2 support?: Text → Text.
Which providers serve Nemotron: Nano 9B V2?: 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 Nemotron: Nano 9B V2?: Send "nemotron-nano-9b-v2" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Nemotron: Nano 9B V2 listed?: The exchange first listed it on 10/8/2026. This is not its release date.

Nemotron: Nano 9B V2 API

Facts

Providers

Request

Questions

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