Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

NVIDIA Nemotron 3 Ultra 550B A55B

NVIDIA · 561B · A55B · open weights

Strongest in Instruction following (#15 of 62), weakest in Agents (#276 of 289). Above par in 13 of 37 scopes. Among the models it meets almost everywhere, it finishes behind Grok 4.7 and Claude Fable 5 and ahead of Llama 4 Maverick Instruct and GPT-4.1 Nano.

§ 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#79/190
Academic knowledge55.7#54/123
Factuality52.6—/0✱
Human preference59.2#99/346
Human preference59.2#99/346
Reasoning47.3#114/189
Science57#44/122
Mathematics49.3#87/149
Reasoning41.5#113/143
Expert reasoning49.6—/0✱
Professional45.4#144/187
Document design29.9#44/47
Finance51.1#89/161
Medical46.5#107/149
Legal43.2#124/162
Coding36.2#175/176
Agentic coding35.7#167/169
Code generation52.8—/20✱
Core abilities41.1#206/225
Instruction following59.6#15/62
Data analysis27.6#43/47
Language40.4#56/62
General intelligence38.9#191/214
Long context53.2—/0✱
Safety46.9#255/331
Secure code63.3#27/273
Toxicity avoidance52.3#166/271
Fairness43.9#220/296
Jailbreak resistance32.7#245/271
Harm refusal44.8#249/296
Agents40.3#276/289
Web research31.7#45/48
Long-horizon work33.5#45/47
Computer use33.4#77/80
Knowledge work51.9#82/198
Tool use34.2—/81✱
Workflow automation35.6—/0✱

§ 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.

GPT-4o Miniwon 15 · lost 9
Llama 4 Scout Instructwon 14 · lost 9
DeepSeek V3won 15 · lost 10
Command Awon 13 · lost 10
Claude Haiku 4.5won 16 · lost 14
GPT-4.1 Nanowon 13 · lost 12
Llama 4 Maverick Instructwon 13 · lost 12
DeepSeek R1won 12 · lost 12
Gemma 4 31Bwon 15 · lost 16
GPT-4owon 11 · lost 12
O3 Miniwon 11 · lost 12
Kimi K2won 11 · lost 13
GLM-4.6won 11 · lost 13
GPT OSS 120Bwon 10 · lost 14
Grok 4won 10 · lost 14
GPT-4.1won 10 · lost 14
GPT-4.1 Miniwon 10 · lost 15
DeepSeek V3.2won 10 · lost 15
Claude Sonnet 4won 10 · lost 16
Gemini 2.5 Flashwon 9 · lost 16
Qwen3 235B A22B Instructwon 8 · lost 16
O4 Miniwon 8 · lost 17
Grok 4.3won 7 · lost 17
GPT-5 Miniwon 7 · lost 18
Claude Opus 4won 6 · lost 17
DeepSeek V4 Flashwon 7 · lost 22
Gemini 2.5 Prowon 6 · lost 19
Mistral Large 4won 6 · lost 22
Kimi K2.6won 5 · lost 20
Gemini 3.6 Flashwon 5 · lost 20
O3won 5 · lost 21
Gemini 3.5 Flashwon 5 · lost 21
MiniMax M3won 7 · lost 30
DeepSeek V4 Prowon 5 · lost 24
Qwen3.8 27Bwon 5 · lost 25
GLM-5.2won 5 · lost 27
GPT-6 Solwon 4 · lost 25
GPT-5.6 Lunawon 5 · lost 32
GLM-5.3 Flashwon 4 · lost 27
GPT-5.6 Solwon 4 · lost 29
Muse Spark 1.1won 3 · lost 22
Claude Sonnet 4.5won 3 · lost 23
Claude Sonnet 4.6won 3 · lost 26
Grok 4.5won 3 · lost 28
Inklingwon 3 · lost 34
GPT-5.6 Terrawon 3 · lost 34
Kimi K2.5won 2 · lost 23
Qwen3.7 Maxwon 2 · lost 23
Claude Opus 4.7won 2 · lost 24
DeepSeek V4.1 Flashwon 2 · lost 25
GLM-5.3won 2 · lost 25
Kimi K3won 2 · lost 25
GPT-6 Lunawon 2 · lost 27
Claude Opus 4.8won 2 · lost 29
GPT-5.5won 2 · lost 29
Gemini 3.8 Flashwon 2 · lost 29
Claude Sonnet 5won 2 · lost 35
Claude Sonnet 5.5won 1 · lost 22
GPT-5won 1 · lost 23
Muse Spark 1.2won 1 · lost 23
Claude Fable 5.1won 1 · lost 24
GPT-5.2won 1 · lost 25
GPT-5.4won 1 · lost 25
Mimo V2.6 Prowon 1 · lost 25
Gemini 3.1 Prowon 1 · lost 25
Claude Opus 5.5won 1 · lost 28
Grok 4.6won 1 · lost 30
Qwen3.8 Maxwon 1 · lost 30
Claude Opus 5won 1 · lost 32
GPT-6.1 Solwon 0 · lost 23
GPT-6 Astrawon 0 · lost 24
Gemini 3.7 Flashwon 0 · lost 25
Claude Fable 5won 0 · lost 25
Grok 4.7won 0 · lost 28

§ 3 · Sources

Where the numbers come from

11 publications, 61 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-10-19
LMArena Text 1426
Artificial Analysis ↗1 measureread 2026-10-19
Artificial Analysis Intelligence Index 23
GDPval-AA ↗1 measureread 2026-10-19
GDPval-AA 1013
AA-Briefcase ↗1 measureread 2026-10-19
AA-Briefcase 876
LiveBench ↗8 measuresread 2026-10-19
LiveBench 40.8LiveBench · Agentic 11.2LiveBench · Reasoning 74.7LiveBench · Coding 43.6LiveBench · Browser Use 0LiveBench · Data Analysis 54.5LiveBench · Research 43.2LiveBench · Design 58.6
LiveBench 1.0 ↗8 measuresread 2026-10-19
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 2026-10-19
SimpleBench 41.7%
Vals.ai ↗12 measuresread 2026-10-19
Vals · Legal Research Bench 15.38%Vals · LegalBench 82.07%Vals · Harvey Legal Agent Benchmark 0.42%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 2026-10-19
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%

Badge

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 2026-10-19 · the full index · JSON API