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The LLM benchmark aggregator.

Nemotron 3 Super

NVIDIA · 124B · open weights

Strongest in Core abilities (#153 of 204, on 1 of its 3 boards), weakest in General intelligence (#158 of 204). Above par in 0 of 13 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and K2 Horizon 375B A23B and ahead of Llama 4 Maverick Instruct and DeepSeek V3.

§ 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.

Core abilities44.6#153/204
General intelligence42.2#158/204
Long context40—/0✱
Agents46.9—/267✱
Tool use42.1—/81✱
Reasoning49—/178✱
Science49.6—/122✱
Expert reasoning43.9—/0✱
Coding49.7—/164✱
Agentic coding49.4—/157✱
Code generation49.6—/77✱
Knowledge45.2—/138✱
Factuality42.8—/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 Nemotron 3 Super, left for the other.

GPT-4o Miniwon 9 · lost 0
GPT-4.1 Nanowon 8 · lost 1
Mistral Medium 3.5won 7 · lost 1
Granite 4.2 3Bwon 8 · lost 2
Command Awon 7 · lost 2
G9v3 3Bwon 6 · lost 2
Mistral Large 3won 6 · lost 2
Granite 4.2 8Bwon 7 · lost 3
Grok 4.3won 6 · lost 3
Gemini 3.5 Flash Litewon 6 · lost 3
GPT-5.4 Miniwon 6 · lost 3
K2 Horizon 0.9Bwon 5 · lost 3
Granite 4.2 30Bwon 7 · lost 5
GPT-5.4 Nanowon 5 · lost 4
Qwen3.6 Pluswon 5 · lost 4
DeepSeek V3won 5 · lost 4
G9v3 39A5Bwon 6 · lost 6
Kimi K2.6won 4 · lost 5
GPT-4.1 Miniwon 4 · lost 5
Qwen3.5 9Bwon 4 · lost 5
Gemini 3.1 Prowon 4 · lost 5
MiniMax M3won 5 · lost 8
Qwen3.5 4Bwon 3 · lost 5
GPT OSS 120Bwon 3 · lost 5
Gemma 4 12Bwon 3 · lost 5
Mimo V2.5 Prowon 3 · lost 5
Gemini 3.1 Flash Litewon 3 · lost 5
Claude Haiku 4.5won 3 · lost 6
GLM-4.6won 3 · lost 6
Qwen3.7 Maxwon 3 · lost 6
Gemini 2.5 Prowon 3 · lost 6
K2 Horizon 32Bwon 4 · lost 8
Qwen3.6 35B A3Bwon 4 · lost 9
Inklingwon 4 · lost 9
Nemotron 3 Ultrawon 4 · lost 9
K2 Horizon 3.7Bwon 3 · lost 7
K2 Horizon 7Bwon 3 · lost 7
DeepSeek R1won 2 · lost 6
Claude Opus 4won 2 · lost 6
Kimi K2.5won 2 · lost 6
Gemma 4 31Bwon 3 · lost 10
Kimi K2won 2 · lost 7
DeepSeek V3.2won 2 · lost 7
GPT-4.1won 2 · lost 7
Claude Sonnet 4.5won 2 · lost 7
GPT-5 Miniwon 2 · lost 7
Claude Sonnet 4won 2 · lost 7
Gemini 3 Prowon 2 · lost 7
DeepSeek V4 Flashwon 2 · lost 8
Claude Opus 4.5won 2 · lost 8
O4 Miniwon 2 · lost 8
Qwen3.8 27Bwon 2 · lost 11
GLM-5.3 Flashwon 1 · lost 8
Muse Spark 1.1won 1 · lost 8
Gemini 3.8 Flashwon 1 · lost 8
Grok 4.5won 1 · lost 8
Grok 4.6won 1 · lost 8
Qwen3.8 Maxwon 1 · lost 8
Gemini 2.5 Flashwon 1 · lost 9
GPT-5.2won 1 · lost 9
DeepSeek V4 Prowon 1 · lost 9
DeepSeek V4.1 Flashwon 1 · lost 9
K2 Horizon MoVA 36B A4Bwon 1 · lost 12
Claude Opus 4.6won 0 · lost 8
Grok 3 Miniwon 0 · lost 8
Muse Spark 1.2won 0 · lost 8
GPT-5won 0 · lost 8
Claude Sonnet 4.6won 0 · lost 9
Gemini 3.6 Flashwon 0 · lost 9
Gemini 3.5 Flashwon 0 · lost 9
Claude Opus 4.8won 0 · lost 9
Claude Opus 4.7won 0 · lost 9
GPT-5.4won 0 · lost 9
Grok 4won 0 · lost 9
Gemini 3.7 Flashwon 0 · lost 9
GPT-5.5won 0 · lost 9
Claude Fable 5.1won 0 · lost 9
Claude Fable 5won 0 · lost 9
GLM-5.3won 0 · lost 10
O3won 0 · lost 10
Claude Opus 5won 0 · lost 10
Kimi K3won 0 · lost 10
GPT-5.6 Solwon 0 · lost 10
Muse Glimmer-30Bwon 0 · lost 12
GPT-5.6 Lunawon 0 · lost 13
GLM-5.2won 0 · lost 13
Claude Sonnet 5won 0 · lost 13
K2 Horizon 375B A23Bwon 0 · lost 13
GPT-5.6 Terrawon 0 · lost 13

§ 3 · Sources

Where the numbers come from

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

Artificial Analysis ↗1 measureread 2026-09-27
Artificial Analysis Intelligence Index 13
tau3-Banking 10.3%Terminal-Bench 2.1 38.6%SciCode 36%Humanity's Last Exam (without tools) 20.8%GPQA Diamond 80%CritPt 3.1%AA-LCR 60.3%AA-Omniscience Accuracy 24.3%AA-Omniscience Non-Hallucination 13%

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PublicAI Index badge for Nemotron 3 Super[![PublicAI Index](https://publicai.io/model-index/badge?model=nemotron-3-super)](https://publicai.io/model-index/m/nemotron-3-super)

✱ 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 2026-09-27 · the full index · JSON API