NVIDIA: Nemotron Nano 9B V2
nvidia/nemotron-nano-9b-v2
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.
Model specifications
- Input
- text
- Output
- text
- Context
- 131,072 tokens
- Max output
- 131,072 tokens
- Input price
- $0.04 / 1M tokens
- Output price
- $0.16 / 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 $0.04 / 1M tokens · tier output average $0.16 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp16
Pricing
- Input
- $0.04 / 1M tokens
- Output
- $0.16 / 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 9B V2?
- NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.
- How much does NVIDIA: Nemotron Nano 9B V2 cost?
- Input costs start at $0.04 / 1M tokens and output costs start at $0.16 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of NVIDIA: Nemotron Nano 9B V2?
- NVIDIA: Nemotron Nano 9B V2 supports a 131,072 token context window and up to 131,072 output tokens.
- What capabilities does NVIDIA: Nemotron Nano 9B V2 support?
- NVIDIA: Nemotron Nano 9B V2 supports Streaming, Function calling, Vision, JSON mode, Playground.
- Which providers offer NVIDIA: Nemotron Nano 9B V2?
- NVIDIA: Nemotron Nano 9B V2 is available from DeepInfra.
- How do providers handle data privacy for NVIDIA: Nemotron Nano 9B V2?
- 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.