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The LLM benchmark aggregator.

NVIDIA Nemotron 3 Ultra 550B A55B

NVIDIA · 561B · A55B · open weights

Strongest in Instruction following (#15 of 62), weakest in Safety (#250 of 327). Above par in 14 of 33 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Gemini 3 Pro and ahead of GPT-5 nano and DeepSeek V3.2.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge52.4#82/197
Academic knowledge55.7#54/123
Factuality53.1—/0✱
Reasoning50#100/195
Science57#44/122
Reasoning45.4#86/147
Mathematics49.3#89/152
Expert reasoning49.5—/0✱
Human preference59.2#102/354
Human preference59.2#102/354
Professional48.7#114/194
Finance51.1#89/162
Medical46.5#107/149
Legal46.5#114/173
Agents50.8#119/298
Knowledge work51.2#91/208
Tool use34.2—/81✱
Web research36.8—/36✱
Workflow automation30.7—/0✱
Core abilities47.2#124/200
Instruction following59.6#15/62
Language40.4#56/62
General intelligence42.7#138/180
Long context53.2—/0✱
Coding38.8#173/179
Agentic coding38.3#168/173
Code generation52.8—/20✱
Safety46.9#250/327
Secure code63.1#27/268
Toxicity avoidance52.3#165/266
Fairness43.9#215/290
Jailbreak resistance32.9#240/266
Harm refusal44.8#242/290

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for NVIDIA Nemotron 3 Ultra 550B A55B, left for the other.

Llama 4 Scout Instructwon 17 · lost 5
GPT-4o miniwon 17 · lost 6
GPT-4.1 nanowon 17 · lost 7
Command Awon 15 · lost 7
GPT-5.4 nanowon 14 · lost 7
Claude 3.5 Haikuwon 13 · lost 7
Gemini 2.0 Flashwon 14 · lost 8
DeepSeek R1won 14 · lost 8
O3 Miniwon 13 · lost 8
Grok 4.1 Fastwon 13 · lost 8
GPT OSS 20Bwon 12 · lost 8
Grok 3won 13 · lost 9
Llama 4 Maverick Instructwon 14 · lost 10
GPT OSS 120Bwon 14 · lost 10
DeepSeek V3won 14 · lost 10
GPT-5.4 miniwon 11 · lost 9
Gemma 4 31Bwon 11 · lost 9
Claude Haiku 4.5won 12 · lost 10
Claude Sonnet 4won 13 · lost 11
DeepSeek V3.2won 13 · lost 11
GPT-5 nanowon 11 · lost 10
GPT-4owon 11 · lost 11
GPT-4.1 miniwon 12 · lost 12
Kimi K2won 11 · lost 12
Claude 3.7 Sonnetwon 10 · lost 11
MiMo V2.5 Prowon 10 · lost 11
Grok 4.3won 11 · lost 13
O4 Miniwon 10 · lost 13
Gemini 2.5 Flashwon 10 · lost 13
GPT-4.1won 10 · lost 13
MiniMax M2.7won 9 · lost 12
GLM-4.6won 9 · lost 12
Grok 4won 9 · lost 13
O1won 8 · lost 12
Mistral Large 4won 9 · lost 14
GPT-5 miniwon 9 · lost 15
Qwen3 235B A22B Instructwon 8 · lost 15
Inklingwon 8 · lost 18
Qwen3.8 27Bwon 6 · lost 14
Gemini 2.5 Prowon 7 · lost 17
Kimi K2.6won 7 · lost 17
MiniMax M3won 7 · lost 19
Kimi K2 Thinkingwon 5 · lost 15
GPT-6 Lunawon 6 · lost 18
Gemini 3.5 Flashwon 6 · lost 19
GLM-5.3 Flashwon 6 · lost 20
Claude Opus 4won 5 · lost 17
O3won 5 · lost 18
DeepSeek V4 Flashwon 5 · lost 21
GPT-5.6 Lunawon 5 · lost 21
GLM-5.2won 5 · lost 21
GPT-6 Solwon 4 · lost 19
Claude Sonnet 4.6won 4 · lost 19
Kimi K2.5won 4 · lost 20
Gemini 3.6 Flashwon 4 · lost 20
MiMo V2.6 Flashwon 3 · lost 17
MiMo V2.6 Prowon 3 · lost 18
Claude Opus 4.6won 3 · lost 19
Claude Sonnet 4.5won 3 · lost 21
Muse Spark 1.1won 3 · lost 21
Claude Sonnet 5won 3 · lost 22
DeepSeek V4 Prowon 3 · lost 23
Grok 4.5won 3 · lost 23
GPT-5.6 Solwon 3 · lost 23
Claude Opus 4.5won 2 · lost 18
GLM-5.3won 2 · lost 18
Gemini 3.1 Prowon 2 · lost 18
GPT-5.1won 2 · lost 20
GLM-5.1won 2 · lost 20
Qwen3.7 Maxwon 2 · lost 23
GPT-5.6 Terrawon 2 · lost 24
GPT-5.5won 2 · lost 24
Claude Opus 4.8won 2 · lost 24
Gemini 3.8 Flashwon 2 · lost 24
Claude Opus 4.7won 2 · lost 24
Kimi K3won 1 · lost 19
Claude Fable 5.1won 1 · lost 19
Grok 4.7won 1 · lost 22
GPT-5won 1 · lost 23
Claude Opus 5.5won 1 · lost 23
GPT-5.2won 1 · lost 24
Claude Opus 5won 1 · lost 24
Grok 4.6won 1 · lost 25
GPT-5.4won 1 · lost 25
Qwen3.8 Maxwon 1 · lost 25
Gemini 3 Prowon 0 · lost 20
Claude Fable 5won 0 · lost 20

§ 3 · Sources

Where the numbers come from

10 publications, 52 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1426
Artificial Analysis ↗1 measureread 2026-11-11
Artificial Analysis Intelligence Index 12
GDPval-AA ↗1 measureread 2026-11-11
GDPval-AA 1021
AA-Briefcase ↗1 measureread 2026-11-11
AA-Briefcase 877
LiveBench 1.0 ↗8 measuresread 2026-11-11
LiveBench 1.0 67.4LiveBench 1.0 · Reasoning 74.7LiveBench 1.0 · Coding 70.7LiveBench 1.0 · Agentic Coding 38.7LiveBench 1.0 · Mathematics 88.7LiveBench 1.0 · Data Analysis 54.5LiveBench 1.0 · Language 70.8LiveBench 1.0 · Instruction Following 73.4
SimpleBench ↗1 measureread 2026-11-11
SimpleBench 41.7%
Vals.ai ↗11 measuresread 2026-11-11
Vals · Legal Research Bench 15.38%Vals · LegalBench 82.07%Vals · Finance Agent 37.67%Vals · CorpFin 65.46%Vals · TaxEval 73.1%Vals · MedCode 38.62%Vals · SWE-bench Verified 69% (Mini-SWE-agent)Vals · Vibe Code Bench 7.64% (OpenHands)Vals · Code Migration 4.91%Vals · GPQA Diamond 86.11%Vals · MMLU Pro 85.76%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-11
Enkrypt · Jailbreak risk 27.2%Enkrypt · Harmful content risk 9.4%Enkrypt · CBRN risk 52.7%Enkrypt · Toxicity risk 4.6%Enkrypt · Bias risk 87.3%Enkrypt · Insecure code risk 6.2%
GDPVal-AA 1162tau3-Banking 14.2%Toolathlon Verified 34.3%Automation Bench Public 8%Apex-Agents (pass@1) 9%MCPMark 45.7%BrowseComp 44.4%WildClawBench 34.2%Terminal-Bench 2.1 53.9%SciCode 39.9%SWE Bench Pro 38.7%Humanity's Last Exam (without tools) 28.4%GPQA Diamond 86.7%CritPt 3.1%AA-LCR 71%AA-Omniscience Accuracy 23%AA-Omniscience Non-Hallucination 70%
GDPVal-AA (Elo) 1162Toolathlon Verified 34.3%Terminal-Bench 2.1 53.9%SWE-bench Pro (strict) 38.7%MCPMark 45.7%

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PublicAI Index badge for NVIDIA Nemotron 3 Ultra 550B A55B[![PublicAI Index](https://publicai.io/model-index/badge?model=nvidia-nemotron-3-ultra-550b-a55b)](https://publicai.io/model-index/m/nvidia-nemotron-3-ultra-550b-a55b)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-11 · the full index · JSON API