‹ PublicAI Index
The LLM benchmark aggregator.
Smaug Nemotron 3.5
NVIDIA
Strongest in Data analysis (#25 of 32), weakest in Agents (#291 of 298). Above par in 0 of 13 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Carbon and GPT-6 Astra and ahead of Inkling and Nemotron 3.5 Super VL.
§ 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.
Coding43−23.1#144/1791/6
Agentic coding42.3−24.4#141/1731/5
Professional44.8−17.6#153/1941/2
Document design30.3−38.1#28/321/1
Reasoning41.1−24.3#165/1951/5
Reasoning35.7−33.3#139/1471/3
Core abilities40.4−25.2#186/2001/4
Data analysis38.9−27.2#25/321/1
General intelligence38.5−30.5#163/1801/3
Agents39.9−26.4#291/2981/6
Long-horizon work35.5−38.3#30/321/1
Web research40.4−23.2#31/361/2
Computer use38−30.1#60/691/2
§ 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 Smaug Nemotron 3.5, left for the other.
§ 3 · Sources
Where the numbers come from
1 publication, 8 figures. Every one links to the page it was read from.
LiveBench 47LiveBench · Agentic 11.3LiveBench · Reasoning 75.1LiveBench · Coding 51.5LiveBench · Browser Use 25.6LiveBench · Data Analysis 65.1LiveBench · Research 66.8LiveBench · Design 60.6
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[](https://publicai.io/model-index/m/smaug-nemotron-3-5)