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NVIDIA

NVIDIA Nemotron Nano 9B V2 (Reasoning)

NVIDIA Nemotron Nano 9B V2 (Reasoning) is a NVIDIA language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

NVIDIA model catalog

Operational Metrics

Output Speed121.6 tok/s
First Token0.24s
Blended Price$0.070/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseAug 18, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: TTFT

Rank #1 across 293 models.

0.24s

Strength: Input $

Rank #11 across 325 models.

$0.040/M

Strength: Blended $

Rank #12 across 325 models.

$0.070/M

Watch Area: Coding

Rank #336 across 410 models.

8.3

Watch Area: SciCode

Rank #350 across 472 models.

22.0%

Watch Area: HLE

Rank #348 across 474 models.

4.6%

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall14.8#323
Artificial Analysis Coding Indexcoding8.3#336
Artificial Analysis Math Indexmath69.7#97
MMLU-Proreasoning74.2%#189
GPQA
reasoning
57.0%
#299
Humanity's Last Examreasoning4.6%#348
LiveCodeBenchcoding72.4%#59
SciCodecoding, reasoning22.0%#350
Output Speedspeed121.6 tok/s#94
Time to First Tokenspeed0.24s#1
Blended Pricecost$0.070/M#12
Input Pricecost$0.040/M#11
Output Pricecost$0.160/M#19
Value Indexcost, overall211.4#16