Using Nemotron 3 Ultra on Together AI
Implementation guide · Nemotron 3 · NVIDIA AI
Together AI exposes Nemotron 3 Ultra through model ID nvidia/nemotron-3-ultra-550b-a55b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-17. Next refresh: weekly.
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
nvidia/nemotron-3-ultra-550b-a55b— see the documentation for request format.
Code Examples
pip install togetherTOGETHER_API_KEYnvidia/nemotron-3-ultra-550b-a55bTogether uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="nvidia/nemotron-3-ultra-550b-a55b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Together AI
Capabilities
About Nemotron 3 Ultra
NVIDIA's open frontier-reasoning model (550B total / 55B active MoE, hybrid Transformer-Mamba). Highest Artificial Analysis Intelligence Index for any US open model (score: 48). 300+ tokens/second. 1M-token context. Announced at Computex 2026. Pricing: ~$0.60/$2.60 per 1M tokens (provider median); free tier on some providers.