Nemotron 3 Ultra

ChatInput: TextReleased Jun 4, 2026

Built by NVIDIA · United States · nvidia.com

NVIDIA 550B open weights

How to use

model: "nvidia/nemotron-3-ultra"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "nvidia/nemotron-3-ultra",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

Max output

—

Input $/1M

$0.50

Output $/1M

$2.20

Features

Tool callingJSON

Serving providers

DeepInfraW&B Inference

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

SciCodeScientific code generation

39.9%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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