Last refreshed 2026-06-01. Next refresh: weekly.
Why use Nemotron 3 Super-120B-A12B on Fireworks AI?
Fireworks AI offers Nemotron 3 Super-120B-A12B with competitive pricing. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Nemotron 3 Super-120B-A12B across 6 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4Request example
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/nvidia-nemotron-3-super-120b-a12b-nvfp4",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/nvidia-nemotron-3-super-120b-a12b-nvfp4", not the LLMReference slug "nemotron-3-super-120b-a12b".
- 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".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Compare Nemotron 3 Super-120B-A12B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | — | — |
| DeepInfra | $0.10 | $0.50 |
| NVIDIA NIM | $0.10 | $0.50 |
| OpenRouter | $0.09 | $0.45 |
| Fireworks AI | — | — |
Capabilities
Structured Outputs
About Nemotron 3 Super-120B-A12B
NVIDIA Nemotron 3 Super-120B-A12B is a 120B total / 12B active hybrid Latent MoE model with interleaved Mamba-2 and MoE layers for agentic, reasoning, and conversational tasks. Fireworks lists the NVFP4 variant for on-demand deployment with 262k context.
Get Started
Model Specs
Released2026-03-11
Parameters120B
Context1.05m
ArchitectureDecoder Only