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NVIDIANemotron 3 Ultra 550B A55B BF16

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NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is an open-weight language model published by NVIDIA.

Token context
262K tokens
Inputs
Text
Outputs
Text
Released
Jun 4, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #30 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Rank #14 of 27

  1. $0.0020Grok Build 0.1
  2. $0.0087GLM 5.3 Flash
  3. $0.017MiniMax M3
  4. $0.018GPT-6 Luna
  5. $0.021Qwen3.8 Flash
  6. $0.022DeepSeek V4.1 Flash
  7. $0.029Gemini 3.5 Flash Lite
  8. $0.044Kimi K2.7 Code
  9. $0.054Mistral Large 4
  10. $0.054DeepSeek V4 Pro
  11. $0.058GPT-5.4 Nano
  12. $0.063Qwen3.8 27B
  13. $0.090Inkling
  14. $0.092NVIDIA Nemotron 3 Ultra 550B A55B BF16
  15. $0.104GPT-6.1 Sol
  16. $0.107Qwen3.8 Max
  17. $0.160Gemini 3.8 Flash
  18. $0.161Gemini 3.1 Pro
  19. $0.163Kimi K3
  20. $0.194Claude Sonnet 5
  21. $0.214GPT-5.4 Mini
  22. $0.248GLM 5.3
  23. $0.266GPT-5.6 Terra
  24. $0.341Grok 4.7
  25. $0.512Claude Opus 5.5
  26. $0.520GPT-6 Astra
  27. $0.824Claude Fable 5.1
View full ranking →

Efficiency

Rank #24 of 27

  1. 71.7*DeepSeek V4.1 Flash
  2. 65.8*GLM 5.3 Flash
  3. 64.2*Qwen3.8 Flash
  4. 62.5*Grok Build 0.1
  5. 60.1GPT-6.1 Sol
  6. 58.6*Qwen3.8 Max
  7. 58.5Gemini 3.8 Flash
  8. 54.6Gemini 3.1 Pro
  9. 53.9*Claude Opus 5.5
  10. 52.8GPT-6 Luna
  11. 51.5*DeepSeek V4 Pro
  12. 50.1Kimi K3
  13. 49.9*Mistral Large 4
  14. 49.5Claude Fable 5.1
  15. 49.0*MiniMax M3
  16. 48.0GPT-5.6 Terra
  17. 47.3Qwen3.8 27B
  18. 46.1GPT-6 Astra
  19. 45.9*GLM 5.3
  20. 44.3*Grok 4.7
  21. 43.5*Claude Sonnet 5
  22. 42.0Inkling
  23. 37.8*Kimi K2.7 Code
  24. 37.1*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  25. 36.6Gemini 3.5 Flash Lite
  26. 29.9GPT-5.4 Nano
  27. 21.6GPT-5.4 Mini
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks NVIDIA Nemotron 3 Ultra 550B A55B BF16. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.50$2.20$0.10—Aug 29, 2026Provider-reported

Benchmarks

All benchmark results →
LiveBench2026-06-25-90f8d44da96573.49percent41,6541,270nemotron-3-ultra-550b-a55baverage per caseRecomputedwinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb266.66points2,70550Nemotron 3 Ultra 550B (high)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Released
Jun 4, 2026
Version
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
License
other

Capacity

Token context
262K tokens
Maximum output
Unknown
Total parameters
560.5B
Active parameters
55B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
No
Tool calling
Yes
Capabilities
chat, generation, reasoning, tools

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesnvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16, nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 developer model repositoryNVIDIA · observed Aug 28, 2026nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 README.md at 77df655d5e9fNVIDIA · observed Aug 28, 2026OpenRouter nvidia/nemotron-3-ultra-550b-a55b model APIOpenRouter · observed Aug 29, 2026nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 config.json at 77df655d5e9fNVIDIA · observed Aug 28, 2026nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 immutable Hub API metadataNVIDIA · observed Aug 28, 2026nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 tokenizer_config.json at 77df655d5e9fNVIDIA · observed Aug 28, 2026Fireworks Ai catalogFireworks Ai · observed Oct 19, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026

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Questions

NVIDIA Nemotron 3 Ultra 550B A55B BF16 FAQs

What is NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is an open-weight language model published by NVIDIA. It is developed by NVIDIA and its current sourced lifecycle status is active.

What inputs and outputs does NVIDIA Nemotron 3 Ultra 550B A55B BF16 support?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16's current record lists Text as input and Text as output.

How much context does NVIDIA Nemotron 3 Ultra 550B A55B BF16 support?+

The current record lists a 262K-token context window and does not report a maximum output length.

Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 available through an API?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 is marked as API-available. The directly sourced provider records currently include Fireworks Ai, Hugging Face, and Openrouter.

How large is NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

The current record lists 560.5B total parameters and 55B active parameters. Its architecture is NemotronHForCausalLM.

What capabilities and tasks does NVIDIA Nemotron 3 Ultra 550B A55B BF16 support?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16's recorded capabilities are chat, generation, reasoning, and tools. Its supported tasks are text.

How much does NVIDIA Nemotron 3 Ultra 550B A55B BF16 cost through an API?+

The lowest directly sourced prices currently attached to NVIDIA Nemotron 3 Ultra 550B A55B BF16 are $0.50 per million input tokens through Openrouter and $2.20 per million output tokens through Openrouter. Prices are provider-specific and should be checked against each cited observation date.

Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 be self-hosted?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 is an open-weight model. Self-hosting is supported, and the recorded license is other.

Does NVIDIA Nemotron 3 Ultra 550B A55B BF16 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16.

Which models can NVIDIA Nemotron 3 Ultra 550B A55B BF16 be compared with?+

The current compatible peer set includes DeepSeek R1, Kimi K2 Instruct, Kimi K2 Thinking, NVIDIA Nemotron 3 Nano 30B A3B Base BF16, and NVIDIA Nemotron 3 Nano 30B A3B BF16. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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