Analysis Summary
NVIDIA's Nemotron Nano 12B 2 VL is a paid multimodal model supporting text, image, and video input. The 131K context window is useful for long mixed-media tasks, and its pricing is accessible for repeated processing. The available results show limited general reasoning and agentic capability, with no reported coding index, so it should not be treated as a general-purpose production assistant.
Suitable workloads include visual classification, media summarisation, extraction, and simple document or video pipelines where outputs can be checked. Tool and function calling are present, but the measured agentic performance suggests caution with multi-step autonomy. Client-facing writing and complex analysis should be handled by stronger systems.
Select it when multimodal input and low operating cost are priorities, provided the workflow includes validation.
Assessed August 9, 2026
Editorial notes
Nemotron Nano 12B 2 VL adds paid access to vision, video input, and a 131K context window at low cost, but its measured reasoning and agentic results are limited. It is suited to constrained multimodal processing with validation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Nemotron Nano 12B 2 VL adds paid access to vision, video input, and a 131K context window at low cost, but its measured reasoning and agentic results are limited. It is suited to constrained multimodal processing with validation.
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 #358 of 425 AI models we track for overall intelligence, #90 of 180 for agentic tasks. Its 131K-token context window is larger than 50% of the models we list. At $0.20 per million input tokens it is cheaper than 57% 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..
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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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 18, 2026 8:38 pm