Nemotron Nano 12B 2 VL (free)

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.

ChatNVIDIA128k tokensFree

nvidia/nemotron-nano-12b-v2-vl:free

Context
128k tokens
Completion cap
128,000
Tools
Yes
JSON
No
Released
2025-10-28

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-nano-12b-v2-vl:free",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Nemotron Nano 12B 2 VL (free)?
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. Nemotron Nano 12B 2 VL (free) runs on the Geek Hub API (OpenAI-compatible). Model id: nvidia/nemotron-nano-12b-v2-vl:free.
Is Nemotron Nano 12B 2 VL (free) free?
Yes. The listed price is zero — you are not charged for prompt or completion tokens. Free endpoints are rate limited.
What is the context length of Nemotron Nano 12B 2 VL (free)?
Nemotron Nano 12B 2 VL (free) has a 128k tokens context window. It supports up to 128,000 completion tokens.
Does Nemotron Nano 12B 2 VL (free) support tool calling and structured outputs?
Nemotron Nano 12B 2 VL (free) accepts tools and tool_choice for function calling. Structured outputs are not listed for this endpoint.
When was Nemotron Nano 12B 2 VL (free) released?
Nemotron Nano 12B 2 VL (free) was released on 2025-10-28.

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