Last refreshed 2026-05-01. Next refresh: weekly.
Why use Nemotron-Nano-9B-v2 on NVIDIA NIM?
NVIDIA NIM offers Nemotron-Nano-9B-v2 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Nemotron-Nano-9B-v2 across 2 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: nvidia/nvidia-nemotron-nano-9b-v2Model ID
nvidia/nvidia-nemotron-nano-9b-v2Request example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
nvidia/nvidia-nemotron-nano-9b-v2.Gotchas
- Use provider model ID "nvidia/nvidia-nemotron-nano-9b-v2", not the LLMReference slug "nemotron-nano-9b-v2".
Compare Nemotron-Nano-9B-v2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| OpenRouter | $0.04 | $0.16 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
Structured Outputs
About Nemotron-Nano-9B-v2
9B hybrid Transformer-Mamba model with improved reasoning and efficiency
FAQ
How does NVIDIA NIM compare to other Nemotron-Nano-9B-v2 providers?
Nemotron-Nano-9B-v2 is available from 2 providers. The cheapest input pricing is $0.04/1M tokens from OpenRouter.
What API model ID do I use for Nemotron-Nano-9B-v2 on NVIDIA NIM?
Use the model ID nvidia/nvidia-nemotron-nano-9b-v2 when calling NVIDIA NIM's API.
Who created Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 was created by NVIDIA AI as part of the Nemotron Nano 2 model family.
Is Nemotron-Nano-9B-v2 open source?
Nemotron-Nano-9B-v2's open source status is unknown in the seed data.
Model Specs
Released2025-08-18
Parameters9B
ArchitectureDecoder Only