NVIDIA's open-weight model optimized for reasoning, coding, and long-context text generation. Engineers should use it when they need a balance of throughput and frontier-level performance without proprietary API constraints.
Modalities
Text → Text
Below release
fp4 · fp8
Weights
Published
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Where it sits in the catalogue Kyma measures
Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.
$0.675
output $3.375 · cached $0.135
median $0.977 · best $0.0494
$3.375
per 1M tokens generated
median $3.4515 · best $0.2164
98.78%
411 observations since 2026-06-10
median 93.7% · best 100.0%
46.1 tok/s
probe median, one fixed prompt
median 39.4 tok/s · best 314.6 tok/s
1.71 s
probe median, to a complete answer
median 2.53 s · best 0.84 s
1M
max output 32,768
published by NVIDIA, not measured here
Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.
Usage
How much this model is actually called here.
Rank
#52
of 117 active models
Tokens served
452.7K
all-time
Platform share
0.0%
of all tokens
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$81.41
$2.71 / day on Nemotron 3 Ultra 550B
Same workload on:
Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.
When to use Nemotron 3 Ultra 550B
Where this model earns its cost — and where it doesn't.
Nemotron 3 Ultra 550B is a 550B parameter mixture-of-experts architecture with 55B active parameters per forward pass. It combines a hybrid Mamba-Transformer design to handle reasoning, coding, and general-purpose text tasks efficiently.
On Kyma, the model runs through an OpenAI-compatible endpoint with automatic request failover and exact cost reporting in the response payload. It supports tool use, structured outputs, and prompt caching, which bills repeated prefixes at this model's cached input rate.
The model accepts a 1,000,000 token context window but caps generation at 32,768 output tokens. It is strictly text-only and does not support vision or multimodal inputs.
Long Context Document Analysis
Process large technical manuals or codebases within the one million token window.
Automated Code Generation
Generate and refactor code using built-in reasoning and tool-use capabilities.
High Throughput Chat
Handle conversational workloads that require fast text generation and structured JSON outputs.
Reasoning Heavy Workflows
Execute multi-step logical tasks where active parameter routing improves accuracy.
Not ideal for: Tasks requiring image or video understanding, or workloads that need output sequences longer than 32,768 tokens.
How it compares
Against the peers people actually weigh it against.
| Spec | Nemotron 3 Ultra 550B | Gemini 3.8 Flash | Claude Fable 5.1 |
|---|---|---|---|
| Input /1M | $0.675 | $2.026 | $13.50 |
| Output /1M | $3.375 | $10.126 | $67.50 |
| Context | 1M | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 46.1 tok/s | 34.7 tok/s | 12.7 tok/s |
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard. Nemotron 3 Ultra 550B needs a top-up — the signup credit covers the free tier.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "nemotron-3-ultra-550b", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "nemotron-3-ultra-550b", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
