Nemotron Nano 12B 2 VL

NVIDIA的Nemotron Nano 12B 2 VL在Coding类别中表现出色，排名第136，综合评分73/100。NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s memory-efficient sequence modeling for significantly higher throughput and lower latency. The model supports inputs of text and multi-image documents, producing natural-language outputs. It is trained on high-quality NVIDIA-curated synthetic datasets optimized for optical-character recognition, chart reasoning, and multimodal comprehension. Nemotron Nano 2 VL achieves leading results on OCRBench v2 and scores ≈ 74 average across MMMU, MathVista, AI2D, OCRBench, OCR-Reasoning, ChartQA, DocVQA, and Video-MME—surpassing prior open VL baselines. With Efficient Video Sampling (EVS), it handles long-form videos while reducing inference cost. Open-weights, training data, and fine-tuning recipes are released under a permissive NVIDIA open license, with deployment supported across NeMo, NIM, and major inference runtimes. 它在基准测试表现和采用指标方面特别突出，适合寻找可靠coding解决方案的个人开发者和企业团队。

Nemotron Nano 12B 2 VL的价格为每百万输入令牌$0.20，每百万输出令牌$0.60（USD）。如需批量折扣和企业定价，请联系提供商。在coding类别中价格具有竞争力，反映了模型的质量成本比。

在Coding类别中，Nemotron Nano 12B 2 VL在6个追踪模型中排名第136。其质量排名第136，采用排名第136。您可以使用我们的对比工具查看与特定替代方案的详细并排指标。关键差异化因素包括基准测试综合评分、社区评价和实际采用率。

Nemotron Nano 12B 2 VL已在5个不同信号中进行评估。最强的领域包括Capabilities（67/100）、Pricing（1/100）、Context Window（81/100）。这些评分来源于行业标准基准测试、社区评价和实际表现指标。综合评分73/100反映了所有追踪信号的加权组合。

Nemotron Nano 12B 2 VL是付费模型，但部分提供商可能会提供试用积分或有限的免费版用于评估。请查看NVIDIA的网站了解当前免费版可用性和促销优惠。