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NVIDIA

NVIDIA Nemotron Nano 9B V2 (Non-reasoning)

NVIDIA Nemotron Nano 9B V2 (Non-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 Speed153.3 tok/s
First Token0.66s
Blended Price$0.086/M

Model Metadata

Queryable facts extracted from the upstream model payload.

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

Strength: Blended $

Rank #14 across 325 models.

$0.086/M

Strength: Input $

Rank #18 across 325 models.

$0.050/M

Strength: Output $

Rank #20 across 325 models.

$0.195/M

Watch Area: HLE

Rank #413 across 474 models.

4.0%

Watch Area: Coding

Rank #343 across 410 models.

7.5

Watch Area: SciCode

Rank #357 across 472 models.

20.9%

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 Indexoverall13.2#358
Artificial Analysis Coding Indexcoding7.5#343
Artificial Analysis Math Indexmath62.3#114
MMLU-Proreasoning73.9%#195
GPQA
reasoning
55.7%
#307
Humanity's Last Examreasoning4.0%#413
LiveCodeBenchcoding70.1%#69
SciCodecoding, reasoning20.9%#357
Output Speedspeed153.3 tok/s#55
Time to First Tokenspeed0.66s#81
Blended Pricecost$0.086/M#14
Input Pricecost$0.050/M#18
Output Pricecost$0.195/M#20
Value Indexcost, overall153.5#27