Nemotron 3 Ultra
nvidia/nemotron-3-ultra-550b-a55bNVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE).
Cheap mode · 26.7–33.3% off ↓Cheap mode · 26.7–33.3% off
Fast mode prioritizes response speed. Cheap mode uses lower-cost capacity and may be a little slower. Both run Nemotron 3 Ultra.
Per 1M tokens, including your 5% fee. Your selection carries into the playground and API example.
| Per 1 million tokens | Fast mode | Cheap mode | You save |
|---|---|---|---|
| Input | $0.63 | $0.42 | 33.3% |
| Output | $2.52 | $1.848 | 26.7% |
All displayed prices include the 5% Free-plan fee. Standard rates are OpenRouter’s published routing ceilings; the actual standard bill may be lower. Cheapest quote: DeepInfra. Savings compare uncached token rates; other provider charges and your usage mix can change the total. Availability is not guaranteed.
Quote checked 11/8/2026, 8:18:04 PM UTC.
Choose how to use Nemotron 3 Ultra
Playground
Try prompts in your browser, create an agent, and see the cost of each reply. Your selected model carries into setup.
Model capabilities below describe the underlying model. Available playground features depend on its provider.
API
Connect your app with a Gizmo API key. Choose fastest or cheapest, stream text responses, and inspect timing, tokens, and charges in request logs.
A current API route is listed for this exact model. Gateway configuration is required for live calls.
Provider price + a transparent platform fee
| Rate | Provider baseline | Free plan · 5% fee | Paid plan · 4% fee |
|---|---|---|---|
| Input / 1M tokens | $0.6 | $0.63 | $0.624 |
| Output / 1M tokens | $2.4 | $2.52 | $2.496 |
| API input / 1M tokens | $0.6 | $0.63 | $0.624 |
| API output / 1M tokens | $2.4 | $2.52 | $2.496 |
Legacy chat image rates use the catalog baseline. The dedicated image playground shows separate estimates and settles the provider’s metered usage. API rates are current routing ceilings; final API charges use provider-reported cost plus your fee. Cheapest routing compares eligible OpenRouter and Cheaper Inference rates for the same model; savings are not guaranteed. Cached input or other provider charges may differ. Compare all model rates and verified discounts →
How your plan pays for usage
API and playground share one included allowance. Usage including the fee draws from that allowance first, then your prepaid credits. Plans bill monthly; included usage resets weekly: Free $1, Starter $5, Growth $25, Scale $50.
A $1 provider charge becomes $1.05 on Free or $1.04 on a paid plan before included usage is applied. Plan eligibility still applies in the playground.
Free models and limits
Zero-cost models stay $0, including the fee, and do not consume your dollar allowance. Free accounts can make 1,000 free-model API requests per calendar month, resetting in UTC. Admitted requests count even if the provider fails.
Free includes 20 API requests/minute and 6 playground messages/minute. Paid plans raise these limits. See plan limits.
Before a text API request, Gizmo temporarily reserves included usage and, if necessary, prepaid credit for the model’s full context plus your maximum output. Image jobs reserve twice their displayed estimate. Unused funds return after metering. This hold can exceed the final charge; unconfirmed usage remains marked pending.
Overview
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it supports text input and output with a context window of up to 1M tokens. It is suited for long-running agentic workflows, including agent orchestration, coding agents, deep research, and complex enterprise tasks.
It is particularly strong at multi-step reasoning and planning, with high-throughput inference designed for high-volume agent pipelines. It is part of the NVIDIA Nemotron family of open models for agentic AI.
Benchmarks
Artificial Analysis indices independent, 0–100
Design Arena head-to-head, human-voted
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| ASCII art | 1093 | 36% | #58 |
| SVG | 1104 | 36% | #58 |
| 3D scenes | 1163 | 40.8% | #60 |
| Game dev | 1155 | 37.1% | #70 |
| UI components | 1155 | 37.3% | #71 |
| Data viz | 1156 | 38.5% | #72 |
| Code | 1154 | 36.2% | #76 |
| Websites | 1143 | 34.3% | #82 |
Benchmarks from the model card
| Benchmark | N-3-Ultra 550B-A55B | MiniMax-2.7 230B-A10B | GLM-5.1 744B-A40B | Kimi-K2.6 1T-A32B | Qwen-3.5 397B-17B | DS-v4-Pro 1.6T-A49B | DS-v4-Flash 284B-A13B |
|---|---|---|---|---|---|---|---|
| Agentic | |||||||
| Terminal Bench 2.1 | 56.4 | 55.5 | 59.3 | 67.2 | 49.9 | 49.2 | 54.2 |
| GDPVal | 46.7 | 47.6 | 54.7 | 50.4 | 34.6 | 54.6 | 50.2 |
| SWE-Bench Verified | 70.7 | 75.3 | 76.2 | 75.7 | 73.6 | 74.5 | 73.5 |
| SWE-Bench Multilingual | 67.7 | 71.8 | 74.8 | 77.1 | 70.9 | 76.5 | 75.0 |
| ProfBench (Search) | 56.0 | 52.0 | 46.0 | 56.0 | 53.0 | 59.9 | 57.0 |
| PinchBench | 90.0 | 77.6 | 81.2 | 90.2 | 86.6 | 88.6 | 91.3 |
| TauBench V3 | |||||||
| Airline | 81.5 | 75.3 | 85.0 | 85.8 | 76.5 | 80.8 | 80.8 |
| Retail | 86.4 | 84.9 | 84.1 | 82.9 | 88.5 | 88.9 | 89.1 |
| Telecom | 92.9 | 89.6 | 96.9 | 97.8 | 98.0 | 96.3 | 98.3 |
| Banking | 22.6 | 14.6 | 12.8 | 23.1 | 20.9 | 25.9 | 26.7 |
| Average | 70.9 | 66.1 | 69.7 | 72.4 | 71.0 | 73.2 | 73.7 |
| BrowseComp | 44.4 | 54.1 | 59.4 | 61.3 | 40.5 | 59.4 | 46.9 |
| Vals.ai Financial Agent 1.1 | |||||||
| without web search | 60.1 | 51.3 | 60.2 | 54.0 | 61.3 | 58.9 | 58.4 |
| with web search | 53.7 | 50.5 | 60.7 | 58.8 | 59.0 | 62.3 | 60.1 |
| Reasoning and Knowledge | |||||||
| IOI 2025 | 570.0 | -- | 456.5 | 585.0 | 441.3 | 580.1 | -- |
| LiveCodeBench (v6) | 89.0 | 77.2 | 85.7 | 90.2 | 79.3 | 92.5 | 90.9 |
| IMOAnswerBench (no tools) | 88.6 | 68.3 | 86.8 | 91.1 | 83.1 | 93.0 | 91.1 |
| IMOAnswerBench (with tools) | 92.3 | 75.1 | 91.1 | 93.71 | 84.51 | 85.4 | 89.6 |
| Apex-Shortlist (no tools) | 74.9 | 28.9 | 71.1 | 77.4 | 61.4 | 85.8 | 82.4 |
| Apex-Shortlist (with tools) | 84.8 | 51.9 | 79.0 | 73.2 | 60.4 | 86.5 | 82.0 |
Base Pre-Training Corpus (Nemotron 3 Foundation) from the model card
| Dataset Collection | Token Counts | Description |
|---|---|---|
| Nemotron-CC-v2 & v2.1 | 9.1T | A massive collection of English web data filtered from Common Crawl, including 2.5T+ tokens of new organic, translated, and synthetically rephrased content. |
| Nemotron-CC-Code-v1 | 427.9B | High-quality code tokens extracted from Common Crawl using the Lynx + LLM pipeline to preserve structure and equations. |
| Nemotron-Pretraining-Code-v1 & v2 & v3 | 1.7T | Curated GitHub code references with multi-stage filtering, deduplication, and large-scale synthetic code data. |
| Nemotron-CC-Math-v1 | 133.3B | High-quality math pre-training dataset preserving LaTeX formatting and mathematical structures. |
| Nemotron-Pretraining-Specialized-v1 & v1.1 & v1.2 & Nemotron-Pretraining-SFT-v1 | 660.0B | Synthetic datasets targeting specialized domains such as STEM reasoning and scientific coding. |
| Nemotron-Pretraining-Legal-v1 | 4.3B | Synthetic datasets targeting the legal domain. |
Public Datasets from the model card
| Dataset | Collection Period |
|---|---|
| GSM8K | 4/23/2025 |
| CC-NEWS | 4/23/2025 |
| Common Crawl | 4/23/2025 |
| Wikimedia | 4/23/2025 |
| Bespoke-Stratos-17k | 4/23/2025 |
| tigerbot-kaggle-leetcodesolutions-en-2k | 4/23/2025 |
| glaive-function-calling-v2 | 4/23/2025 |
| APIGen Function-Calling | 4/23/2025 |
| LMSYS-Chat-1M | 4/23/2025 |
| Open Textbook Library \- CC BY-SA & GNU subset and OpenStax \- CC BY-SA subset | 4/23/2025 |
| Advanced Reasoning Benchmark, tigerbot-kaggle-leetcodesolutions-en-2k, PRM800K, and SciBench | 4/23/2025 |
| FineWeb-2 | 4/23/2025 |
| Court Listener | Legacy Download |
| peS2o | Legacy Download |
| OpenWebMath | Legacy Download |
| BioRxiv | Legacy Download |
| PMC Open Access Subset | Legacy Download |
| OpenWebText2 | Legacy Download |
| Stack Exchange Data Dump | Legacy Download |
| PubMed Abstracts | Legacy Download |
| NIH ExPorter | Legacy Download |
| arXiv | Legacy Download |
| BigScience Workshop Datasets | Legacy Download |
| Reddit Dataset | Legacy Download |
Private Non-publicly Accessible Datasets of Third Parties from the model card
| Dataset | Model(s) used |
|---|---|
| Global Regulation | Unknown |
| TAUS Translation Memory | Unknown |
| Scale HLE | Unknown |
| HackerRank Coding | Unknown |
| RL data for Search | Gemini 3; GPT-5 |
Capabilities
Reasoning is on by default with effort levels high · medium (default high).
Sampling controls: temperature, top_p, top_k, min_p, max_tokens, frequency_penalty, presence_penalty, repetition_penalty. Defaults: top_k null, top_p 0.95, temperature 1, presence_penalty null, frequency_penalty null, repetition_penalty null.
Pricing on Gizmo
These are provider baseline rates before Gizmo’s 5% Free-plan or 4% paid-plan fee. Your included usage covers charges first; overage uses prepaid credits. See the fee-inclusive comparison above.
Provider baseline rates
- Input
- $0.6 / 1M
- Cached input
- $0.188 / 1M
- Output
- $2.40 / 1M
Examples before the platform fee
- Typical chat turn
- $0.0024 2k in · 500 out
- $1 of input
- ≈ 1.67M tokens
- $1 of output
- ≈ 417k tokens
- Full context, once
- $0.16
Providers and pricing
4 ways to run Nemotron 3 Ultra on Gizmo, cheapest first. Requests follow your routing choice and fall back down this list if a provider fails.
| Provider | Route | Input / 1M | Output / 1M | Context | Uptime 24h |
|---|---|---|---|---|---|
| DeepInfra · fp4Lowest priceFlex tier: slower, discounted | OpenRouter | $0.40 | $1.76 | 262k | 100% |
| DeepInfra · fp4 | OpenRouter | $0.50 | $2.20 | 262k | 100% |
| BaseTen · fp4 | OpenRouter | $0.60 | $2.40 | 203k | 100% |
| BaseTen · fp4 | OpenRouter | $0.60 | $2.40 | 203k | 99.9% |
Rates are each provider’s, per million tokens, before Gizmo’s 5% (Free) or 4% (paid) fee. “Cheapest” routing starts at the top of this list; “Fastest” starts with the model’s maker.
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Run Nemotron 3 Ultra in under a minute
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Chat, research, create
Live web research and image generation are built in. Every reply shows what it cost, and you can switch models anytime.