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NVIDIA: Nvidia Nemotron 3.5 Super VL

nemotron-3.5-super-vl

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NVIDIA’s open-weight 120B model (12B active) for reasoning, coding, tool use, document and GUI understanding, and video understanding. Text, images and video in; text out. A 262,144-token shared context window with responses limited to 16,384 tokens. OpenMDW 1.1 license.

Modalities

Text + Image + Video → Text

Input / output price

$0.195 / $0.650 per 1M

Context

262K · max output 16K

Capabilities

ReasoningVisionTool callingLong contextOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.195
Output$0.650
Cached input$0.026

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00111
Per day
$0.5525
Per month (30 days)
$16.57

Nvidia Nemotron 3.5 Super VL: input $0.195/M · output $0.65/M · cached input $0.026/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "nemotron-3.5-super-vl", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to nemotron-3.5-super-vl.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nemotron-3.5-super-vl",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Nvidia Nemotron 3.5 Super VL billed?
Input is $0.195 and output is $0.650 per million tokens; cached input is $0.026. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
262K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.