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Nemotron 3 Ultra 550B A55B

nvidia·nvidia/nemotron-3-ultra-550b-a55b·GA·Open weights·nemotron series
Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Nemotron 3 Ultra 550B A55B by nvidia is offered by 15 providers on this page. Public prices are shown for 12 of them. Its official list price is $0.50 per 1M input tokens and $2.50 per 1M output tokens. The lowest paid channel is routing.run at $0.10 / $0.10 per 1M, about 10× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 3 free ($0) channels; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 22.9 on the Intelligence Index, with 49.3 for coding and 20.1 for agentic tasks. Against its lowest blended price of $0.10 per 1M, that is roughly 229 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 180 tokens per second, with 1.2s to the first token. Running one task of the Artificial Analysis suite costs about $0.5976, which reflects how many tokens its reasoning consumes rather than the unit price alone.

The context window is 1,000,000 tokens at the reference host, but hosts report different limits, from 131,072 to 1,048,576, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. The weights are open, so it can also be self-hosted or served through a gateway of your choice.

Specs & pricing

Input / output per 1M tokens
Official price·Nvidia
$0.50 / $2.50
Blended $1.00 · Cache read $0.15
Lowest paid·routing.runGateway
$0.10 / $0.10
Blended $0.10 · 10× spread
3 more $0 channels
Context
1,000,000
Output limit
65,536
Knowledge cutoff
—
Released / updated
2026-06-04 / 2026-06-04
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
Modalities
Text

Quality & performanceArtificial Analysis · Intelligence Index v4.3 · rep. tier Reasoning

Intelligence22.9
Value229
Coding49.3
Agentic20.1
Output speed180 tok/s
TTFT1.2 s
Cost per task$0.60
Value formulaIQ 22.9 ÷ min blended $0.100 = 229

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 15 providers12 with public prices · 3 free

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
UnoRouter
nemotron-3-ultra-550b-a55b:free
GatewayFree——1,000,000128,000
KenariGatewayFree——1,000,000128,000
RequestyGatewayFree——1,048,576 ⚠65,536
routing.run
nemotron-3-ultra
Gateway$0.10$0.10——131,072 ⚠32,000
Kilo GatewayGateway$0.50$2.20$0.10—262,144 ⚠16,384
OpenRouterGateway$0.50$2.20$0.10—262,144 ⚠16,384
DevPass (LLM Gateway)
nemotron-3-ultra-550b
Gateway$0.50$2.20$0.10—1,048,576 ⚠128,000
Eden AIGateway$0.50$2.20$0.10—262,144 ⚠128,000
NvidiaOfficialCloud$0.50$2.50$0.15—1,000,00065,536
Pioneer
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Gateway$0.50$2.50$0.15$0.501,000,00065,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Reasoning control

effort = mediumeffort = higheffort = noneeffort = loweffort = maxToggle (on / off)budget_tokens

Interleaved thinking (reasoning between tool calls) is declared by 2 of 15 providers.

3 / 15 providers expose no reasoning control (reasoning_options: []).

Your usage cost

1routing.run$25.00
2Kilo Gateway$162.00
3OpenRouter$162.00
4DevPass (LLM Gateway)$162.00
5Eden AI$162.00
6Fireworks AI$182.40
7Nvidia · Official$183.00

3 more channels offer $0 (UnoRouter, Kenari, Requesty); free tiers usually have rate limits and no SLA, excluded from ranking.

Switch to routing.run to save $158.00/mo (86%)
Note: this is a gateway; verify availability and rate limits yourself.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$2.50$02026-08-052026-08-132026-08-05 · Input list $0.502026-08-06 · Input list $0.502026-08-07 · Input list $0.502026-08-08 · Input list $0.502026-08-09 · Input list $0.502026-08-10 · Input list $0.502026-08-11 · Input list $0.502026-08-12 · Input list $0.502026-08-13 · Input list $0.502026-08-05 · Output list $2.502026-08-06 · Output list $2.502026-08-07 · Output list $2.502026-08-08 · Output list $2.502026-08-09 · Output list $2.502026-08-10 · Output list $2.502026-08-11 · Output list $2.502026-08-12 · Output list $2.502026-08-13 · Output list $2.502026-08-05 · Min blended $0.102026-08-06 · Min blended $0.102026-08-07 · Min blended $0.102026-08-08 · Min blended $0.102026-08-09 · Min blended $0.102026-08-10 · Min blended $0.102026-08-11 · Min blended $0.102026-08-12 · Min blended $0.102026-08-13 · Min blended $0.10

Benchmark11 items

NameConditionsScoreMetricSource
SWE-Bench Verified—70.7resolvedSource ↗
SWE-Bench Multilingual—67.7resolve rateSource ↗
Terminal-Benchv2.156.4success rateSource ↗
GPQAvariant: no tools87accuracySource ↗
Humanity's Last Examvariant: no tools26.7accuracySource ↗
Humanity's Last Examvariant: with tools37.4accuracySource ↗
LiveCodeBenchvv689pass@1Source ↗
MMLU-Pro—86.8accuracySource ↗
BrowseComp—44.4accuracySource ↗
IFBenchvariant: prompt loose81.7accuracySource ↗
GDPval—46.7wins or tiesSource ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Artificial Analysis evaluations9 items

GPQA Diamond86.7%
Humanity's Last Exam28.4%
SciCode40.3%
Terminal-Bench Hard36.4%
Terminal-Bench 2.153.9%
τ²-Bench Telecom83.3%
τ³-Bench Banking14.2%
AA-LCR79.3%
IFBench81.4%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

Related models

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Data partly from models.dev (MIT) · Nvidia official docs ↗