Last refreshed 2026-06-15. Next refresh: weekly.
Why use Nemotron 3 Super-120B-A12B on DeepInfra?
DeepInfra offers Nemotron 3 Super-120B-A12B with pay-as-you-go pricing at $0.10/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Nemotron 3 Super-120B-A12B across 6 providers to find the best fit for your use caseInput / 1M
$0.10
Output / 1M
$0.50
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
nvidia/NVIDIA-Nemotron-3-Super-120B-A12BRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="nvidia/NVIDIA-Nemotron-3-Super-120B-A12B",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B", not the LLMReference slug "nemotron-3-super-120b-a12b".
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_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 | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.50 |
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