NVIDIA • text
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...
Context Window
1.0M tokens
Input Price/1M
$0.60
Output Price/1M
$2.60
Parameters
—
Speed
173 tok/s
Latency (TTFT)
823ms
Max Output
16K tokens
Nemotron 3 Ultra 550B A55B (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 36.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 37.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 67.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 47.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 87.0 | 100.0 | Artificial Analysis official API |
| IFBench | 81.0 | 100.0 | — |
| HLE | 27.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 83.0 | 100.0 | — |
Nemotron 3 Ultra 550B A55B (Reasoning) is an AI model developed by NVIDIA, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via NVIDIA's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Nemotron 3 Ultra 550B A55B (Reasoning) is usage-based, priced at $0.6/1M input tokens and $2.6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Nemotron 3 Ultra 550B A55B (Reasoning) was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Nemotron 3 Ultra 550B A55B (Reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Nemotron 3 Ultra 550B A55B (Reasoning) competes directly with similarly capable models. NVIDIA competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Nemotron 3 Ultra 550B A55B (Reasoning) is an AI model developed by NVIDIA. It is a text model.
Nemotron 3 Ultra 550B A55B (Reasoning) costs $0.6/1M input tokens and $2.6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Nemotron 3 Ultra 550B A55B (Reasoning) scored: Terminal-Bench Hard: 36/100, SciCode: 40/100, AA Coding Index: 37.6/100. See the full table above for a detailed comparison.
No, Nemotron 3 Ultra 550B A55B (Reasoning) is a proprietary model from NVIDIA. It is available via cloud API. For open source alternatives, check our open source model ranking.
Nemotron 3 Ultra 550B A55B (Reasoning) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 11, 2026 • View methodology →