EBEasy BenchmarksLLM model index
Workspace
Overview
Benchmarks
Benchmarks list
Overall Index
Coding
Math
MMLU-Pro
Speed
Value
Models
All models
GPT-5.5 (xhigh)
GPT-5.5 (high)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Gemini 3.1 Pro Preview
GPT-5.4 (xhigh)
Artificial Analysis data
Back

NVIDIA

NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning)

NVIDIA Nemotron Nano 12B v2 VL (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 Speed163.1 tok/s
First Token0.63s
Blended Price$0.300/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseOct 28, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Speed

Rank #42 across 293 models.

163.1 tok/s

Strength: TTFT

Rank #74 across 293 models.

0.63s

Strength: Blended $

Rank #82 across 325 models.

$0.300/M

Watch Area: Coding

Rank #358 across 410 models.

5.9

Watch Area: Overall

Rank #419 across 500 models.

10.1

Watch Area: SciCode

Rank #381 across 472 models.

17.6%

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 Indexoverall10.1#419
Artificial Analysis Coding Indexcoding5.9#358
Artificial Analysis Math Indexmath26.7#193
MMLU-Proreasoning64.9%#252
GPQA
reasoning
43.9%
#366
Humanity's Last Examreasoning4.5%#355
LiveCodeBenchcoding34.5%#202
SciCodecoding, reasoning17.6%#381
Output Speedspeed163.1 tok/s#42
Time to First Tokenspeed0.63s#74
Blended Pricecost$0.300/M#82
Input Pricecost$0.200/M#91
Output Pricecost$0.600/M#87
Value Indexcost, overall33.7#137