---
title: NVIDIA: Nemotron Nano 12B 2 VL (free) | Text Generation | ModelsLab
description: Free 12.6B parameter vision-language LLM with 128K context excels in multi-image/video understanding, OCR, VQA, and reasoning on NVIDIA GPUs like H100 at.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-nemotron-nano-12b-v2-vl-free/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-nemotron-nano-12b-v2-vl-free/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:45:57.035553Z
---

NVIDIA: Nemotron Nano 12B 2 VL (free)
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-nemotron-nano-12b-v2-vl-free.md)

nvidia-nemotron-nano-12b-v2-vl-free nvidia Closed Source Model

NVIDIA: Nemotron Nano 12B 2 VL (free)
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### NVIDIA: Nemotron Nano 12B 2 VL (free)

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

Copy model ID

PricingInput $0.00 / 1M tokens

Output $0.00 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1)

[BE](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-vl-424b-a47b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Baidu: ERNIE 4.5 VL 424B A47B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-vl-424b-a47b)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-235b-a22b-thinking)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 VL 235B A22B Thinking

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-235b-a22b-thinking)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-27b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemma 3 27B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-27b-it)

[Q9](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-9B-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3.5 9B Fp8

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3.5-9B-FP8)

[QC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen-2.5-coder-32b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen2.5 Coder 32B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen-2.5-coder-32b-instruct)

[DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [DeepSeek R1 Distill Qwen 1.5B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)

[Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 14B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct-Turbo-test)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Meta Llama 3.3 70B Instruct Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct-Turbo-test)

[Q7](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 7B Instruct Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo)

[IR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/inclusionai-ring-2.6-1t-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [inclusionAI: Ring-2.6-1T (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/inclusionai-ring-2.6-1t-free)

[M8](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mixtral-8x7B-v0.1)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Mixtral 8X7b V0.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/mistralai-Mixtral-8x7B-v0.1)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 VL 30B A3B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-instruct)

[G3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3n-E4B-it)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Gemma 3N E4B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-3n-E4B-it)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-thinking)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 Next 80B A3B Thinking

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-thinking)

[N3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [nim/meta/llama-3.2-90b-vision-instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nim-meta-llama-3.2-90b-vision-instruct)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen2.5-vl-72b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen2.5 VL 72B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen2.5-vl-72b-instruct)

[G2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google_deepmind/google-gemma-2-27b-it)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google_deepmind)

 [Gemma-2 Instruct (27B)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google_deepmind/google-gemma-2-27b-it)

About NVIDIA: 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...

### Technical Specifications

Model IDnvidia-nemotron-nano-12b-v2-vl-freeCategoryLLM ModelsTaskText GenerationAddedFebruary 20, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate NVIDIA: Nemotron Nano 12B 2 VL (Free) into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "nvidia-nemotron-nano-12b-v2-vl-free",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-nemotron-nano-12b-v2-vl-free/api) for SDKs, code examples in Python, JavaScript, and more.

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Learn more about NVIDIA: Nemotron Nano 12B 2 VL (Free)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/nvidia-nemotron-nano-12b-2-vl-free) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Nvidia](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

NVIDIA: Nemotron Nano 12B 2 VL (Free) FAQ
---

### What is NVIDIA: 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...

### How do I use the NVIDIA: Nemotron Nano 12B 2 VL (Free) API?

You can integrate NVIDIA: Nemotron Nano 12B 2 VL (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "nvidia-nemotron-nano-12b-v2-vl-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### What is the NVIDIA: Nemotron Nano 12B 2 VL (Free) model ID?

The model ID for NVIDIA: Nemotron Nano 12B 2 VL (Free) is "nvidia-nemotron-nano-12b-v2-vl-free". Use this ID in your API requests to specify this model.

### Does NVIDIA: Nemotron Nano 12B 2 VL (Free) have a free tier?

Yes, ModelsLab offers a free tier that lets you try NVIDIA: Nemotron Nano 12B 2 VL (Free) and other AI models. Sign up to get free API credits and start building immediately.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-05-13*