NVIDIA: Nemotron 3 Ultra
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...
Anyone in the Space can @-mention NVIDIA: Nemotron 3 Ultra with the team's shared context — pooled credits, one chat, one memory.
Starter is free forever — 1 Space, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- Processing entire codebases in context
- Long-form document summarization tasks
- Multi-document analysis and synthesis
- Extended conversation threads with history
- Large-scale data extraction workflows
Strengths
The 262K token context window is the headline feature — you can load roughly 200,000 words or 50+ typical documents without chunking. At $0.50 input per million tokens, it's cheaper than Claude Opus for ingesting large volumes of text. NVIDIA's GPU infrastructure typically delivers low latency, which matters when you're pushing hundreds of thousands of tokens through the model. The pricing structure favors read-heavy workloads where you load context once and generate concise outputs.
Trade-offs
No public benchmark data means you're flying blind on reasoning quality, instruction-following accuracy, and coding ability relative to GPT-4o or Claude Sonnet. The $2.50 output pricing is 5x the input rate, so verbose responses get expensive fast — this isn't the model for creative writing or long-form generation. NVIDIA's ecosystem is less mature than OpenAI or Anthropic for tooling and integrations. Without MMLU, HumanEval, or GSM8K scores, it's hard to predict performance on complex tasks.
Specifications
- Provider
- nvidia
- Category
- llm
- Context length
- 262,144 tokens
- Max output
- 16,384 tokens
- Modalities
- text
- License
- proprietary
- Released
- 2026-06-04
Pricing
- Input
- $0.50/Mtok
- Output
- $2.50/Mtok
- Model ID
nvidia/nemotron-3-ultra-550b-a55b
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool — one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool — one plan, one balance for everyone.
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| nvidia | 262k | $0.50/Mtok | $2.50/Mtok | — | — | — |
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Codebase Architecture Analysis
Analyze this codebase for architectural patterns and anti-patterns. Identify tight coupling between modules, circular dependencies, and opportunities to extract shared logic. Provide a prioritized list of refactoring recommendations.Open in a Space →
Multi-Document Synthesis
I've provided 30 research papers on the same topic. Synthesize the key findings, highlight areas of consensus and disagreement, and identify gaps in the current research. Structure your response as a literature review.Open in a Space →
Long Transcript Extraction
Extract all action items, decisions, and open questions from this meeting transcript. For each action item, note who is responsible and any mentioned deadlines. Group by topic area.Open in a Space →
Contract Comparison
Compare these five vendor contracts and highlight differences in liability clauses, termination terms, data handling requirements, and pricing structures. Flag any unusual or risky provisions.Open in a Space →
Historical Context Retrieval
Based on everything we've discussed in this conversation, what are the three most important unresolved questions, and what additional information would help us make a decision?Open in a Space →