Using Nemotron 3 Ultra on Fireworks AI

Implementation guide · Nemotron 3 · NVIDIA AI

ServerlessOpen Weights

Fireworks AI exposes Nemotron 3 Ultra through model ID accounts/fireworks/models/nemotron-3-ultra-nvfp4. 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. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call accounts/fireworks/models/nemotron-3-ultra-nvfp4 — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $2.40/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
accounts/fireworks/models/nemotron-3-ultra-nvfp4

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/nemotron-3-ultra-nvfp4",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.60
Output tokens$2.40

Capabilities

ReasoningJSON / Tool use

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.

Model Specs

Released2026-06-04
Parameters550B
Context1M
ArchitectureMixture of Experts

Provider

Fireworks AI

San Mateo, California, United States