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NVIDIA: Nemotron 3 Ultra 550B A55B

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Source-linked nemotron Open weights Released 2026-06-04
API record Report
InputT
OutputT
Input price$0.5/M
Output price$2.5/M
Context1M
Max output128K
Providers17
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Nemotron 3 Ultra 550B A55B
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Requesty nemotron-3-ultra-550b-a55b 1.04858M 65.536K — — — ReasoningTools Docs ↗
Kenari nemotron-3-ultra-550b-a55b 1M 128K — — — ReasoningTools Docs ↗
UnoRouter nemotron-3-ultra-550b-a55b:free 1M 128K — — — ReasoningTools Docs ↗
routing.run nemotron-3-ultra 131.072K 32K $0.1 $0.1 — ReasoningTools Docs ↗
Eden AI deepinfra/nemotron-3-ultra-550b-a55b 262.144K 128K $0.5 $2.2 $0.1 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) nemotron-3-ultra-550b 1.04858M 128K $0.5 $2.2 $0.1 ReasoningTools Docs ↗
NanoGPT nvidia/nemotron-3-ultra-550b-a55b 1M 65.536K $0.5 $2.5 $0.25 ReasoningTools Docs ↗
Nvidia nvidia/nemotron-3-ultra-550b-a55b 1M 65.536K $0.5 $2.5 $0.15 ReasoningToolsJSON Docs ↗
Kilo Gateway nvidia/nemotron-3-ultra-550b-a55b 256K 32.768K $0.5 $2.2 $0.1 ReasoningToolsJSON Docs ↗
Pioneer nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 1M 65K $0.5 $2.5 $0.15 ReasoningTools Docs ↗
Eden AI together_ai/nvidia/nemotron-3-ultra-550b-a55b 512.288K 128K $0.6 $3.6 $0.2 ReasoningToolsJSON Docs ↗
Together AI nvidia/nemotron-3-ultra-550b-a55b 512.3K 512.3K $0.6 $3.6 $0.2 ReasoningToolsJSON Docs ↗
Vercel AI Gateway nvidia/nemotron-3-ultra-550b-a55b 1M 65K $0.6 $2.4 $0.12 ReasoningTools Docs ↗
Fireworks AI accounts/fireworks/models/nemotron-3-ultra-nvfp4 262.144K 128K $0.6 $2.4 $0.119 ReasoningTools Docs ↗
OpenRouter nvidia/nemotron-3-ultra-550b-a55b 262.144K 32.768K $0.625 $3.125 $0.188 ReasoningToolsJSON Docs ↗
Nebius Token Factory nvidia/Nemotron-3-Ultra-550b-a55b 1.04858M 1.04858M $1 $3 $1 ReasoningTools Docs ↗
Eden AI nebius/nvidia/Nemotron-3-Ultra-550b-a55b 1.04858M 128K $1 $3 $1 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.1/M

Across 14 priced providers

Median input $0.55/M

Midpoint of listed rates

Highest input $1/M

10.0× the lowest listed rate

Output range $0.1 – $3.6

Per million output tokens

routing.run $0.1/MLowest
Eden AI $0.5/M
DevPass (LLM Gateway) $0.5/M
NanoGPT $0.5/M
Nvidia $0.5/M
Kilo Gateway $0.5/M
Pioneer $0.5/M
Eden AI $0.6/M
Together AI $0.6/M
Vercel AI Gateway $0.6/M
Fireworks AI $0.6/M
OpenRouter $0.625/M
Nebius Token Factory $1/M
Eden AI $1/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 131.072K to 1.04858M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
× Structured output No
× Attachments No
× Vision input No
✓ Open weights Yes
Creator
NVIDIA
Model family
nemotron
Knowledge cutoff
Not documented
License
Not documented
Release date
2026-06-04
Model ID
nvidia/nemotron-3-ultra-550b-a55b
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
Coding IndexCoding Index Agentic IndexAgentic Index IntelligenceIntelligence Index Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Coding Index: 49.3 index (51.0th percentile) This model — Agentic Index: 21.7 index (54.4th percentile) This model — Intelligence Index: 23.4 index (42.7th percentile) This model — Design Arena: website: 1144 elo (31.1th percentile) This model — Design Arena: codecategories: 1154 elo (31.1th percentile) This model — Design Arena: gamedev: 1153 elo (34.6th percentile) This model — Design Arena: dataviz: 1156 elo (32.4th percentile) This model — Design Arena: uicomponent: 1151 elo (32.0th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Coding Index index Source ↗
Coding Index #99 of 205
Agentic Index index Source ↗
Agentic Index #87 of 193
Intelligence Index index Source ↗
Intelligence Index #110 of 192
Design Arena: website elo Source ↗
Design Arena: website #120 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #115 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #108 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #111 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #109 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #92 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #93 of 116
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #92 of 99
SWE-Bench Verified resolved · 2026-06-04 Source ↗
SWE-Bench Verified #28 of 32
Humanity's Last Exam accuracy · 2026-06-04 Source ↗
Humanity's Last Exam #18 of 20
BrowseComp accuracy · 2026-06-04 Source ↗
BrowseComp #15 of 15
Terminal-Bench — 2.1 success rate · 2026-06-04 Source ↗
Terminal-Bench #10 of 12
GDPval wins or ties · 2026-06-04 Source ↗
GDPval #5 of 6
SWE-Bench Multilingual resolve rate · 2026-06-04 Source ↗
SWE-Bench Multilingual #6 of 6
IFBench accuracy · 2026-06-04 Source ↗
81.7 2 models scored — too few for a distribution
GPQA accuracy · 2026-06-04 Source ↗
87.0 1 model scored — too few for a distribution
LiveCodeBench — v6 pass@1 · 2026-06-04 Source ↗
89.0 1 model scored — too few for a distribution
MMLU-Pro accuracy · 2026-06-04 Source ↗
86.8 1 model scored — too few for a distribution

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.

0 43 86 $0.01 $0.1 $1 $10 Qwen: Qwen3.7 Plus — $0.32/M, score 55.9 OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1 Qwen: Qwen3.6 Plus — $0.325/M, score 54.5 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4 OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9 Z.ai: GLM 4.6 — $0.43/M, score 45.8 OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1 GPT-5 Mini — $0.25/M, score 15.6 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7 Anthropic: Claude Sonnet 4 — $3/M, score 37.6 MiMo-V2.5-Pro — $0.435/M, score 60.2 Gemini 3.1 Pro Preview — $2/M, score 68.8 OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3 DeepSeek V4 Flash 0731 — $0.05/M, score 69.1 GPT-4o (2024-05-13) — $5/M, score 24.2 GPT OSS 20B — $0.02/M, score 20.7 GPT-4 Turbo — $10/M, score 21.5 o1 — $15/M, score 39.7 Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8 Gemini 3.5 Flash — $1.5/M, score 70.1 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5 Gemma 3 12B IT — $0.05/M, score 5.8 GPT-4 — $30/M, score 13.1 GPT-4.1 mini — $0.4/M, score 20.2 DeepSeek V4 Pro — $0.435/M, score 59.4 Claude Sonnet 5 — $2/M, score 71.5 Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7 Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7 OpenAI: o1 (batch) — $7.5/M, score 39.7 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6 Gemini 3.7 Flash — $0.75/M, score 76.1 LongCat-2.0 — $0.3/M, score 45.3 Z.ai: GLM 5.1 — $0.966/M, score 55.8 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3 Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1 DeepSeek V3.2 — $0.18/M, score 44.2 Anthropic: Claude Opus 4.7 — $5/M, score 73.6 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1 Inception: Mercury 2 — $0.25/M, score 31.1 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7 Gemini 3.6 Flash — $0.75/M, score 69.2 Gemma 4 26B A4B IT — $0.042/M, score 39.3 Claude Fable 5 — $10/M, score 76.5 Gemma 4 31B IT — $0.09/M, score 43.4 Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7 Gemma 3 27B IT — $0.08/M, score 10.1 MiniMax: MiniMax M3 — $0.3/M, score 58.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9 Anthropic: Claude Fable 5.1 — $10/M, score 81.6 Google: Gemma 4 31B (batch) — $0.39/M, score 43.4 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9 Mistral: Devstral 2 2512 — $0.4/M, score 31.3 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8 Inkling — $1.87/M, score 52.1 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7 Muse Spark 1.1 — $1.25/M, score 71.3 MiMo-V2.5 — $0.14/M, score 56.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3 Kimi K2 Thinking — $0.4/M, score 21.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9 GPT-5.6 Luna — $0.2/M, score 71.4 Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5 GPT-5.1 — $1.25/M, score 49.4 Qwen: Qwen3.8 27B — $0.42/M, score 68.1 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1 Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1 OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9 MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2 Inkling Small — $0.45/M, score 52.9 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5 Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5 Nemotron 3 Super 120B A12B — $0.2/M, score 37.7 IBM: Granite 4.2 8B — $0.06/M, score 22.4 OpenAI: GPT-5 (batch) — $0.625/M, score 37.8 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3 GPT OSS 120B — $0.03/M, score 30.4 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1 SpaceXAI: Grok 4.6 — $2/M, score 76.8 DeepSeek-R1 — $0.7/M, score 24.6 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5 OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7 Gemma 3 4B IT — $0.04/M, score 2.7 DeepSeek V4 Pro 0813 — $0.442/M, score 68.8 Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2 GPT-6 Astra — $10/M, score 76.9 Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4 Z.ai: GLM 5.3 — $1.4/M, score 74.8 Anthropic: Claude Opus 4.8 — $5/M, score 74.3 SpaceXAI: Grok 4.3 — $1.25/M, score 42.2 GPT-5.6 Terra — $2/M, score 76.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6 Gemini 3.8 Flash — $0.75/M, score 76.3 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3 MiniMax: MiniMax M2.7 — $0.3/M, score 52.6 Kimi K2.6 — $0.95/M, score 61.8 Kimi K3 — $3/M, score 76.2 Claude Opus 5 — $5/M, score 78.0 Claude Opus 5 (batch) — $2.5/M, score 78.0 SpaceXAI: Grok 4.5 — $2/M, score 72.4 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6 Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8 Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5 Thinking Machines: Inkling (batch) — $1/M, score 52.1 GPT-5.5 — $5/M, score 74.9 Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0 GPT-5 — $1.25/M, score 37.8 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6 Gemini 2.5 Pro — $1.25/M, score 33.3 inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6 SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2 Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1 Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4 GPT-5.4 mini — $0.75/M, score 56.1 Kimi K2.7 Code — $0.95/M, score 60.8 Gemini 3.5 Flash Lite — $0.3/M, score 49.3 Hy3 preview — $0.066/M, score 58.8 Muse Spark 1.2 — $1.25/M, score 72.2 DeepSeek V4 Flash — $0.15/M, score 52.0 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8 GPT-5.6 Sol — $4/M, score 77.4 GPT-4.1 nano — $0.1/M, score 11.1 GPT-5.4 — $2.5/M, score 71.1 GPT-4o mini — $0.15/M, score 11.4 GPT-5.4 nano — $0.2/M, score 56.1 GPT-3.5-turbo — $0.5/M, score 10.7 Solar Pro 4 — $0.3/M, score 52.7 Kimi K2.5 — $0.3/M, score 46.8 Trinity Large Thinking — $0.25/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1 Z.ai: GLM 5.2 — $0.966/M, score 68.8 Qwen: Qwen3.7 Max — $1.475/M, score 66.0 SpaceXAI: Grok Build 0.1 — $1/M, score 51.5 Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9 Qwen: Qwen3.6 27B — $0.3/M, score 53.7 inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3 Mistral: Mistral Small 4 — $0.15/M, score 26.6 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5 Qwen: Qwen3.5-9B — $0.1/M, score 28.7 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7 Upstage: Solar Pro 3 — $0.15/M, score 16.2 Z.ai: GLM 4.7 — $0.4/M, score 45.3 Amazon: Nova 2 Lite — $0.3/M, score 23.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Google: Gemma 3n 4B — $0.06/M, score 3.2 Meta: Llama 4 Maverick — $0.2/M, score 16.3 OpenAI: o3 Mini High — $1.1/M, score 16.3 Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9 Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4 Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1 Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9 inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8 IBM: Granite 4.1 8B — $0.05/M, score 9.5 Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2 Qwen: Qwen3 Coder Next — $0.12/M, score 36.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4 Anthropic: Claude Haiku 4.5 — $1/M, score 43.9 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1 Qwen: Qwen3 8B — $0.117/M, score 9.0 Qwen: Qwen3 14B — $0.227/M, score 13.8 Qwen: Qwen3 32B — $0.08/M, score 15.3 Meta: Llama 4 Scout — $0.1/M, score 8.2 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2 Cohere: Command A — $2.5/M, score 27.8 Step 3.7 Flash — $0.185/M, score 39.6 Nemotron 3 Ultra 550B A55B Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Max Output Tokens32768 → 128000
Context Length256000 → 1000000
Price Completion3.125 → 2.5
Price Prompt0.625 → 0.5
Max Output Tokens128000 → 32768
Context Length1000000 → 256000
Price Completion2.5 → 3.125
Price Prompt0.5 → 0.625
Max Output Tokens32768 → 128000
Context Length256000 → 1000000
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Requesty documentationprovider documentation ↗Kenari documentationprovider documentation ↗UnoRouter documentationprovider documentation ↗routing.run documentationprovider documentation ↗Eden AI documentationprovider documentation ↗DevPass (LLM Gateway) documentationprovider documentation ↗NanoGPT documentationprovider documentation ↗Nvidia documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗Pioneer documentationprovider documentation ↗Together AI documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/nvidia/nemotron-3-ultra-550b-a55b
curl
curl "https://model.kyssta.lol/api/v1/models/nvidia/nemotron-3-ultra-550b-a55b"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Nemotron 3 Ultra 550B A55B?

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy. It is published by NVIDIA and catalogued here from Models.dev.

How much does Nemotron 3 Ultra 550B A55B cost?

Listed input pricing starts at $0.1 per million tokens from routing.run, rising to $1 across 14 listed providers.

What is the context length of Nemotron 3 Ultra 550B A55B?

Nemotron 3 Ultra 550B A55B accepts up to 1M tokens of context and returns up to 128K output tokens.

Does Nemotron 3 Ultra 550B A55B support tool calling and structured output?

Provider catalogs list support for tool calling, and reasoning.

Which providers serve Nemotron 3 Ultra 550B A55B?

15 providers list this model: Requesty, Kenari, UnoRouter, routing.run, Eden AI, DevPass (LLM Gateway) and 9 more.

Are the weights for Nemotron 3 Ultra 550B A55B open?

Yes. The weights are published.

When was Nemotron 3 Ultra 550B A55B released?

The catalog records a release date of 2026-06-04, last verified Sep 11, 2026.

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