
NVIDIA: Nemotron 3 Super
1 provider live- 1 live provider
- 53.5% uptime
- 1.20 s first token
- 232 tok/s output
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
- Context
- 256K
- tokens
- Max output
- 16K
- tokens
- Input
- $0.085
- per million tokens
- Output
- $0.40
- per million tokens
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.| # | Provider | Input | Output | Cache read | Latency | Throughput | Uptime (3d) |
|---|---|---|---|---|---|---|---|
| 1 | Data policy not declared | $0.085 | $0.40 | n/a | 1.20 s | 232 tok/s | 53.5% |
Price history
No price changes since Oct 20, 2026.
- DeepInfra$0.085 in, $0.40 out
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- DeepInfra232 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| DeepInfra | Oct 26, 06:00 | 232 tok/s | 232 tok/s | 232 tok/s |
| DeepInfra | Oct 26, 10:00 | 232 tok/s | 232 tok/s | 232 tok/s |
| DeepInfra | Oct 26, 15:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| DeepInfra | Oct 26, 20:00 | 93 tok/s | 93 tok/s | 93 tok/s |
| DeepInfra | Oct 27, 00:00 | 112 tok/s | 112 tok/s | 112 tok/s |
| DeepInfra | Oct 27, 04:00 | 278 tok/s | 278 tok/s | 278 tok/s |
| DeepInfra | Last 24 hours | 232 tok/s | 93 tok/s | 93 tok/s |
Latency (time to first token)
- DeepInfra1.20 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| DeepInfra | Oct 26, 06:00 | 1.44 s | 1.44 s | 1.44 s |
| DeepInfra | Oct 26, 10:00 | 1.20 s | 1.20 s | 1.20 s |
| DeepInfra | Oct 26, 15:00 | 1.20 s | 1.20 s | 1.20 s |
| DeepInfra | Oct 26, 20:00 | 1.44 s | 1.44 s | 1.44 s |
| DeepInfra | Oct 27, 00:00 | 2.48 s | 2.48 s | 2.48 s |
| DeepInfra | Oct 27, 04:00 | 1.20 s | 1.20 s | 1.20 s |
| DeepInfra | Last 24 hours | 1.20 s | 2.48 s | 2.48 s |
Uptime
Last 72 hours, by hour- Up: 95% or more served
- Degraded: 85% to 95%
- Down: below 85%
- No data
- From llm.buzz's test requests
Questions
How much does NVIDIA: Nemotron 3 Super cost?
NVIDIA: Nemotron 3 Super costs $0.085 per million input tokens and $0.40 per million output tokens at DeepInfra, the provider requests go to first.
Do providers train on my prompts?
Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.
Can I serve NVIDIA: Nemotron 3 Super myself?
Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.
Similar models
Call it
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.buzz/api/v1",
api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
model="nvidia/nemotron-3-super-120b-a12b",
messages=[{"role": "user", "content": "Hello"}],
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm.buzz/api/v1",
apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
model: "nvidia/nemotron-3-super-120b-a12b",
messages: [{ role: "user", content: "Hello" }],
});curl https://api.llm.buzz/api/v1/chat/completions \
-H "Authorization: Bearer $LLM_BUZZ_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "nvidia/nemotron-3-super-120b-a12b",
"messages": [{"role": "user", "content": "Hello"}]}'Endpoints
POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messagesAuthentication
Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.
More in Authentication and the API reference.
README
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
- Model ID
- nvidia/nemotron-3-super-120b-a12b
- Takes
- Text
- Answers
- Text
- Context
- 256K tokens
- Max output
- 16K tokens
- Capabilities
- Tools, Structured outputs
- Parameters
- max_tokens, response_format, structured_outputs, temperature, tool_choice, tools
- Weights
- Open weights
- On llm.buzz since
- Oct 20, 2026