Moduck

Nvidia: Nemotron 3 Ultra 550B A55B

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Model lab
Nvidia
Model family
nemotron
Modalitiestext → text
Context window1,000,000
Maximum output128,000
InputUSD 0.4 / 1M tokens
OutputUSD 1.76 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/nvidia/nemotron-3-ultra-550b-a55b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/nvidia/nemotron-3-ultra-550b-a55b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Nemotron 3 Ultra 550B A55B API Pricing

TypePrice information
InputUSD 0.4 / 1M tokens
OutputUSD 1.76 / 1M tokens
Cached inputUSD 0.08 / 1M tokens

Benchmarks

Reasoning

Intelligence Index · v4.322.9
Coding Index49.3
Agentic Index20.1
BenchmarkScoreMeasurementSource
SWE-Bench Verified70.7resolved · Date: 2026-06-04
SWE-Bench Multilingual67.7resolve rate · Date: 2026-06-04
Terminal-Bench56.4success rate · Version: 2.1 · Date: 2026-06-04
GPQA87accuracy · Variant: no tools · Date: 2026-06-04
Humanity's Last Exam26.7accuracy · Variant: no tools · Date: 2026-06-04
Humanity's Last Exam37.4accuracy · Variant: with tools · Date: 2026-06-04
LiveCodeBench89pass@1 · Version: v6 · Date: 2026-06-04
MMLU-Pro86.8accuracy · Date: 2026-06-04
BrowseComp44.4accuracy · Date: 2026-06-04
IFBench81.7accuracy · Variant: prompt loose · Date: 2026-06-04
GDPval46.7wins or ties · Date: 2026-06-04

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement · Reasoning

Output speed149.01 tokens/s
Time to first token1.24 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
Reasoning149.01 tokens/s1.24 s——

Performance trends

Throughput149.01 tok/sCurrent
Time to first token1.24 sCurrent
End-to-end latency7.3 sCurrent
Throughput
Current149.01 tok/s
Window average145.1 tok/s
Time to first token
Current1.24 s
Window average1.4 s
End-to-end latency
Current7.3 s
Window average7.5 s
Tail latency (P99)
Current18.0 s
Window average16.3 s
Prompt cache hit rate
Current26.1%
Window average23.3%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Nemotron 3 Ultra 550B A55B Compare models

ModelInput priceOutput priceContext windowCapabilities
Nemotron 3 Ultra 550B A55BThis pageUSD 0.4 / 1M tokensUSD 1.76 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Nemotron 3.5 Lightning 30B A3BUSD 0.04 / 1M tokensUSD 0.16 / 1M tokens262,144Text output · Reasoning · Tool calling
Nemotron 3 Super 120B A12BUSD 0.096 / 1M tokensUSD 0.416 / 1M tokens262,144Text output · Reasoning · Tool calling
Nemotron 3 Nano 30B A3BUSD 0.04 / 1M tokensUSD 0.16 / 1M tokens262,144Text output · Reasoning · Tool calling
Nemotron Nano 9B v2USD 0.048 / 1M tokensUSD 0.184 / 1M tokens131,072Text output · Reasoning · Tool calling

Model specifications

Input
text
Output
text
Context window
1,000,000
Maximum output
128,000
Release date
2026-06-04
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Nemotron 3 Ultra 550B A55B for?

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

What inputs and outputs does Nemotron 3 Ultra 550B A55B support?

Recorded inputs: text; outputs: text.

How is Nemotron 3 Ultra 550B A55B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.4 / 1M tokens; Output USD 1.76 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Nemotron 3 Ultra 550B A55B?

Current model records list Context window 1,000,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses moduck/nvidia/nemotron-3-ultra-550b-a55b. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.