Nvidia Nemotron 3 Super 120B A12B
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Nvidia Nemotron 3 Super 120B A12B

nvidia-nemotron-3-super-120b-a12bllms.txt
Nvidia
An open-source, efficient hybrid Mamba-Transformer MoE model that supports a context length of one million tokens and excels at agent reasoning, programming, planning, and tool invocation.

Pricing

  • Input Tokens: $0.110 /M tokens
  • Output Tokens: $0.550 /M tokens
  • Cache Read: $0.028 /M tokens

Input Modalities

  • Text

Output Modalities

  • Text

Capabilities

  • Thinking
  • Tools
  • Tool calling
  • Structured outputs
  • Long context

Providers

Nvidia deepinfra-nvidia-nemotron-3-super-120b-a12b
Pricing$0.110$0.550
Cache$0.028
Context0
Max output0
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for nvidia-nemotron-3-super-120b-a12b

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="nvidia-nemotron-3-super-120b-a12b",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Nvidia Nemotron 3 Super 120B A12B?

An open-source, efficient hybrid Mamba-Transformer MoE model that supports a context length of one million tokens and excels at agent reasoning, programming, planning, and tool invocation.