Nemotron multimodal model for visual reasoning and agentic AI workflows
https://integrate.api.nvidia.com/v1 nvidia/nemotron-nano-12b-v2-vl Nemotron Nano 12B v2 VL is listed for chat workloads and supports a 128K context window.
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We only found this nemotron-nano-12b-v2-vl listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | Nemotron Nano 12B v2 VL | Check provider | 128K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| 01-ai/yi-large | NVIDIA NIM | 131K | Free tier |
| adept/fuyu-8b | NVIDIA NIM | 131K | Free tier |
| ai21labs/jamba-1.5-large-instruct | NVIDIA NIM | 131K | Free tier |
| aisingapore/sea-lion-7b-instruct | NVIDIA NIM | 131K | Free tier |
| baai/bge-m3 | NVIDIA NIM | 131K | Check provider |
Nemotron Nano 12B v2 VL is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
Nemotron Nano 12B v2 VL appears in the free model catalog for NVIDIA NIM, but its current endpoint availability should be confirmed with the provider before use.
The model ID shown in this catalog is nvidia/nemotron-nano-12b-v2-vl.
The listed context window is 128K tokens with up to 128K output tokens.
NVIDIA Nemotron Nano 12B V2 VL is a 12B-parameter multimodal reasoning model available free on OpenRouter. Uses a hybrid Transformer-Mamba architecture for better throughput and lower latency. Handles text and multi-image document inputs with 128K context. Optimized for optical character recognition (OCR), chart reasoning, and multimodal comprehension. Supports long-form video via Efficient Video Sampling (EVS). Achieves ~74 average across MMMU, MathVista, AI2D, OCRBench, ChartQA, DocVQA, and Video-MME. Open-weights under NVIDIA license. Also available on NVIDIA NIM. OpenAI-compatible. Free tier: 200 RPD.
For API keys, setup steps, and provider-level limits, see the NVIDIA NIM provider page.