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NVIDIA: Nvidia Nemotron 3.5 Lightning Thinking

nemotron-3.5-lightning:thinking

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Nvidia Nemotron 3.5 Lightning is an open-weight 30B-A3B hybrid Mamba-Transformer mixture-of-experts model for high-throughput agentic, coding, tool-use, instruction-following, and long-context workloads. This variant enables its reasoning trace.

Modalities

Text → Text

Input / output price

$0.065 / $0.260 per 1M

Context

1M · max output 66K

Capabilities

ReasoningTool callingLong contextOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.065
Output$0.260
Cached input$0.013

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00040
Per day
$0.2015
Per month (30 days)
$6.04

Nvidia Nemotron 3.5 Lightning Thinking: input $0.065/M · output $0.26/M · cached input $0.013/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-lightning:thinking", "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-lightning:thinking.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nemotron-3.5-lightning:thinking",
    "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 Lightning Thinking billed?
Input is $0.065 and output is $0.260 per million tokens; cached input is $0.013. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
1M 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.