NVIDIA: Nemotron Nano 12B 2 VL
nvidia/nemotron-nano-12b-v2-vl
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.
Model specifications
- Input
- text
- Output
- text
- Context
- 131,072 tokens
- Max output
- 131,072 tokens
- Input price
- $0.2 / 1M tokens
- Output price
- $0.6 / 1M tokens
- Released
- 2026-03-19
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.2 / 1M tokens · tier output average $0.6 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp8
Pricing
- Input
- $0.2 / 1M tokens
- Output
- $0.6 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- No
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is NVIDIA: Nemotron Nano 12B 2 VL?
- 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.
- How much does NVIDIA: Nemotron Nano 12B 2 VL cost?
- Input costs start at $0.2 / 1M tokens and output costs start at $0.6 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of NVIDIA: Nemotron Nano 12B 2 VL?
- NVIDIA: Nemotron Nano 12B 2 VL supports a 131,072 token context window and up to 131,072 output tokens.
- What capabilities does NVIDIA: Nemotron Nano 12B 2 VL support?
- NVIDIA: Nemotron Nano 12B 2 VL supports Streaming, Function calling, Vision, JSON mode, Playground.
- Which providers offer NVIDIA: Nemotron Nano 12B 2 VL?
- NVIDIA: Nemotron Nano 12B 2 VL is available from DeepInfra.
- How do providers handle data privacy for NVIDIA: Nemotron Nano 12B 2 VL?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.