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#122

Nemotron 3 Super

NVIDIA Release: 2026-03-11 Tested on: 2026-05-08 15:31 nvidia/nemotron-3-super-120b-a12b::none
120B total (12B active)MoEWeights available
(medium) (none)

Summary

Nemotron 3 Super scores 5.2 on AI BENCHY and ranks #122. It has 10.0 reliability, a 35.1% pass rate, $0.002 total cost, and 5.80s average response time.

What makes Nemotron 3 Super unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Reported
Parameters
120B total (12B active)
Architecture
MoE
Availability
Weights available
License
NVIDIA Open Model

Score

5.2

Consistency

8.7

Total Output Tokens

6,145

Total Input Tokens

0

Input Price

$0.090 / 1M

Output Price

$0.450 / 1M

Tests Correct

Wrong Tests: 14

Attempt pass rate: 35.1%

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

5.80s

Response Time (max): 16.45s

Response Time (total): 110.20s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#122 Nemotron 3 Super

none
Cost
$0.000
Time
137.8s
Tokens
2,447 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:35 Re-test 4.8 9.2 $0.008 Compare
2026-07-16 22:47 New test added 4.9 8.5 $0.017 Compare
2026-06-04 13:53 New test added 4.9 10.0 $0.007 Compare
2026-05-22 00:21 Suite changed 5.0 10.0 $0.002 Compare
2026-05-08 15:31 Suite changed 5.2 10.0 $0.002 Current run
2026-04-20 17:48 First recorded run 5.1 N/A $0.000 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-08 15:31 · Suite changed57/57 attempts5.28.710.05/1936,1450$0.0025.80s
2026-07-16 22:47 · New test added66/66 attempts4.98.88.55/2236,43463,519$0.0175.97s
Difference+0.3-0.1+1.500-289-63519-$0.015-169ms

Benchmark coverage differs: 57/57 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 4.8 10.0
Coding 3.3 1.6
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.6 7.2
General Intelligence 4.6 10.0
Instructions following 6.3 10.0
Puzzle Solving 5.5 10.0
Tool Calling 4.7 1.6
Trivia 3.0 10.0

Compared models