Last refreshed 2026-05-01. Next refresh: weekly.
Why use Nemotron-Nano-12B-v2-VL on NVIDIA NIM?
NVIDIA NIM offers Nemotron-Nano-12B-v2-VL with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Nemotron-Nano-12B-v2-VL across 2 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: nvidia/nemotron-nano-12b-v2-vlModel ID
nvidia/nemotron-nano-12b-v2-vlRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
nvidia/nemotron-nano-12b-v2-vl.Gotchas
- Use provider model ID "nvidia/nemotron-nano-12b-v2-vl", not the LLMReference slug "nemotron-nano-12b-v2-vl".
Compare Nemotron-Nano-12B-v2-VL Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| OpenRouter | $0.20 | $0.60 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
VisionMultimodalStructured Outputs
About Nemotron-Nano-12B-v2-VL
12B vision-language model with multimodal understanding
FAQ
How does NVIDIA NIM compare to other Nemotron-Nano-12B-v2-VL providers?
Nemotron-Nano-12B-v2-VL is available from 2 providers. The cheapest input pricing is $0.2/1M tokens from OpenRouter.
What API model ID do I use for Nemotron-Nano-12B-v2-VL on NVIDIA NIM?
Use the model ID nvidia/nemotron-nano-12b-v2-vl when calling NVIDIA NIM's API.
Who created Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL was created by NVIDIA AI as part of the Nemotron Nano 2 model family.
Is Nemotron-Nano-12B-v2-VL open source?
Nemotron-Nano-12B-v2-VL's open source status is unknown in the seed data.
Model Specs
Released2025-10-28
Parameters12B
ArchitectureDecoder Only