Last refreshed 2026-06-29. Next refresh: weekly.
Why use Nemotron 3 Super-120B-A12B on Vercel AI Gateway?
Vercel AI Gateway offers Nemotron 3 Super-120B-A12B with pay-as-you-go pricing at $0.15/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Nemotron 3 Super-120B-A12B across 6 providers to find the best fit for your use caseInput / 1M
$0.15
Output / 1M
$0.65
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
nvidia/nemotron-3-super-120b-a12bRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="nvidia/nemotron-3-super-120b-a12b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "nvidia/nemotron-3-super-120b-a12b", not the LLMReference slug "nemotron-3-super-120b-a12b".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_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 | $0.15 |
| Output tokens | $0.65 |
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.
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Model Specs
Released2026-03-11
Parameters120B
Context1.05m
ArchitectureDecoder Only