---
title: NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 | Text Generation | ModelsLab
description: Efficient 49B reasoning model with 128K context, RAG & tool calling for chat and agentic tasks—82 tokens/sec throughput.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-llama-3.3-nemotron-super-49b-v1.5.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-llama-3.3-nemotron-super-49b-v1.5.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T08:43:34.743100Z
---

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-llama-3.3-nemotron-super-49b-v1.5/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nvidia/nvidia-llama-3.3-nemotron-super-49b-v1.5.md)

nvidia-llama-3.3-nemotron-super-49b-v1.5 nvidia Closed Source Model $0.250000 / call

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
---

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### NVIDIA: Llama 3.3 Nemotron Super 49B V1.5

nvidia nvidia-llama-3.3-nemotron-super-49b-v1.5

Copy model ID

PricingInput $0.10 / 1M tokens

Output $0.40 / 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

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About NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
---

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...

### Technical Specifications

Model IDnvidia-llama-3.3-nemotron-super-49b-v1.5CategoryLLM ModelsTaskText GenerationPrice$0.250000 per million tokensAddedFebruary 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: Llama 3.3 Nemotron Super 49B V1.5 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-llama-3.3-nemotron-super-49b-v1.5",
        "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-llama-3.3-nemotron-super-49b-v1.5/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API costs $0.250000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### 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: Llama 3.3 Nemotron Super 49B V1.5](https://modelslab-frontend-v2-927501783998.us-east4.run.app/nvidia-llama-33-nemotron-super-49b-v15) [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: Llama 3.3 Nemotron Super 49B V1.5 FAQ
---

### What is NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...

### How do I use the NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 API?

You can integrate NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "nvidia-llama-3.3-nemotron-super-49b-v1.5" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 cost?

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 costs $0.250000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 model ID?

The model ID for NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 is "nvidia-llama-3.3-nemotron-super-49b-v1.5". Use this ID in your API requests to specify this model.

### Does NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 have a free tier?

Yes, ModelsLab offers a free tier that lets you try NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 and other AI models. Sign up to get free API credits and start building immediately.

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- [Website](https://modelslab.com)
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*Generated by ModelsLab - 2026-05-13*