by Nvidia
NVIDIA-Nemotron-3-Ultra-550B-A55B.
multimodal
open weights
262K ctx
Cheapest input
$0.5/M
on DeepInfra
Cheapest output
$2.5/M
on DeepInfra
Hosted equiv.
~$0.9/hr
@ 100 tok/s on DeepInfra
Nemotron 3 Ultra is built for, frontier reasoning, orchestration, coding agents, deep research, and complex enterprise workflows. It delivers up to 5x faster inference and up to 30% lower cost for agentic workloads while
Where to use it
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| DeepInfra | hosted inference | $0.5 | $2.5 | Launch ↗ |
FAQ
Frequently asked.
How do I run NVIDIA-Nemotron-3-Ultra-550B-A55B?
NVIDIA-Nemotron-3-Ultra-550B-A55B is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access NVIDIA-Nemotron-3-Ultra-550B-A55B?
NVIDIA-Nemotron-3-Ultra-550B-A55B is available via DeepInfra. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run NVIDIA-Nemotron-3-Ultra-550B-A55B?
API pricing starts at $0.5/M input tokens and $2.5/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is NVIDIA-Nemotron-3-Ultra-550B-A55B open-source or proprietary?
NVIDIA-Nemotron-3-Ultra-550B-A55B is open-weight under the license. You can download and self-host it.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for NVIDIA-Nemotron-3-Ultra-550B-A55B across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$10.0
DeepInfra
$/M input
$0.5
per million tokens
$/M output
$2.5
per million tokens
Providers
1
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
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Bill breakdown.
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
262K tokens
≈ 196,608 English words
4K
32K
128K
1M
Capabilities
What it can do.
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Vision input
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Audio input
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Video input
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Function calling
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Tool use
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JSON mode
✓
Streaming
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Fine-tuning