NVIDIA: Nemotron Nano 12B 2 VL
Analysis Summary
NVIDIA's Nemotron Nano 12B 2 VL is a multimodal model for text, image, and video inputs, with a 131K context window and recorded results across reasoning, coding, instruction following, long-context use, and agentic evaluation. Vision support and tool integration make it more operationally flexible than a text-only small model.
It suits visual document processing, image or video triage, metadata generation, and workflows that need structured actions alongside visual understanding. The measured general intelligence and agentic results remain limited, so it should not be the primary model for complex analysis, autonomous agents, or high-stakes client-facing content. Pricing is also higher than the free variant.
Choose it when multimodal input is central and a compact deployable model is preferred. Validate visual accuracy and tool-call consistency on representative workloads before scaling.
Assessed September 7, 2026
Editorial notes
Nemotron Nano 12B 2 VL combines vision and video input, a 131K context, and measured tool-oriented capability at moderate pricing. Its general reasoning remains limited, so it fits visual workflows better than demanding analytical or coding tasks.
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DFO Verdict
Nemotron Nano 12B 2 VL combines vision and video input, a 131K context, and measured tool-oriented capability at moderate pricing. Its general reasoning remains limited, so it fits visual workflows better than demanding analytical or coding tasks.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
4.6 Intelligence Index·19.3 Agentic Index·26.7 Math Index
How NVIDIA: Nemotron Nano 12B 2 VL compares
NVIDIA: Nemotron Nano 12B 2 VL ranks #428 of 437 AI models we track for overall intelligence, #88 of 191 for agentic tasks. Its 131K-token context window is larger than 48% of the models we list. At $0.20 per million input tokens it is cheaper than 56% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.60 | $0.000600 |
What would NVIDIA: Nemotron Nano 12B 2 VL cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout NVIDIA: Nemotron Nano 12B 2 VL
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..
Frequently asked questions about NVIDIA: Nemotron Nano 12B 2 VL
How much does NVIDIA: Nemotron Nano 12B 2 VL cost?
NVIDIA: Nemotron Nano 12B 2 VL costs $0.20 per million input tokens and $0.60 per million output tokens.
What is the context window of NVIDIA: Nemotron Nano 12B 2 VL?
NVIDIA: Nemotron Nano 12B 2 VL has a context window of 131,072 tokens (131K).
What can NVIDIA: Nemotron Nano 12B 2 VL do?
NVIDIA: Nemotron Nano 12B 2 VL supports image/vision input.
Who created NVIDIA: Nemotron Nano 12B 2 VL?
NVIDIA: Nemotron Nano 12B 2 VL is developed by NVIDIA and was released on October 28, 2025.