---
title: Llama 3.1 Nemotron 70B Instruct HF | Text Generation | ModelsLab
description: Advanced 70-billion-parameter instruction-tuned LLM for natural language tasks, optimized for helpful, detailed responses and strong performance on.
url: https://modelslab.com/models/together_ai/nvidia-llama-3.1-nemotron-70b-instruct-hf.md
canonical: https://modelslab.com/models/together_ai/nvidia-llama-3.1-nemotron-70b-instruct-hf.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-05T20:27:41.011934Z
---

Llama 3.1 Nemotron 70B Instruct HF
---

 [LLMs.txt](https://modelslab.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF/llms.txt) [.md](https://modelslab.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF.md)

nvidia-Llama-3.1-Nemotron-70B-Instruct-HF meta Closed Source Model $0.880000 / call

Llama 3.1 Nemotron 70B Instruct HF
---

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

### Llama 3.1 Nemotron 70B Instruct HF

meta nvidia-Llama-3.1-Nemotron-70B-Instruct-HF

Copy model ID

PricingInput $0.88 / 1M tokens

Output $0.88 / 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.com/models?feature=llmaster)

[Q2](https://modelslab.com/models/together_ai/Qwen-Qwen2-72B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen 2 (72B)

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2-72B)

[LL](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b)[Open Router](https://modelslab.com/models/open_router)

 [LiquidAI: LFM2-24B-A2B

Closed Source Model](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b)

[WP](https://modelslab.com/models/open_router/writer-palmyra-x5)[Open Router](https://modelslab.com/models/open_router)

 [Writer: Palmyra X5

Closed Source Model](https://modelslab.com/models/open_router/writer-palmyra-x5)

[QQ](https://modelslab.com/models/qwen/Qwen-QwQ-32B)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen QwQ-32B

Closed Source Model](https://modelslab.com/models/qwen/Qwen-QwQ-32B)

[Q9](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-9B-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3.5 9B Fp8

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-9B-FP8)

[PS](https://modelslab.com/models/open_router/perplexity-sonar-deep-research)[Open Router](https://modelslab.com/models/open_router)

 [Perplexity: Sonar Deep Research

Closed Source Model](https://modelslab.com/models/open_router/perplexity-sonar-deep-research)

[II](https://modelslab.com/models/open_router/inflection-inflection-3-pi)[Open Router](https://modelslab.com/models/open_router)

 [Inflection: Inflection 3 Pi

Closed Source Model](https://modelslab.com/models/open_router/inflection-inflection-3-pi)

[BS](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-mini)[Open Router](https://modelslab.com/models/open_router)

 [ByteDance Seed: Seed-2.0-Mini

Closed Source Model](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-mini)

[OG](https://modelslab.com/models/open_router/openai-gpt-4o)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o)

[AJ](https://modelslab.com/models/open_router/ai21-jamba-large-1.7)[Open Router](https://modelslab.com/models/open_router)

 [AI21: Jamba Large 1.7

Closed Source Model](https://modelslab.com/models/open_router/ai21-jamba-large-1.7)

[MM](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Mistral Small 3.2 24B

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)

[Q7](https://modelslab.com/models/qwen/Qwen-Qwen2.5-7B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen2.5 7B Instruct Turbo

Closed Source Model](https://modelslab.com/models/qwen/Qwen-Qwen2.5-7B-Instruct-Turbo)

[MK](https://modelslab.com/models/open_router/moonshotai-kimi-k2.5)[Open Router](https://modelslab.com/models/open_router)

 [MoonshotAI: Kimi K2.5

Closed Source Model](https://modelslab.com/models/open_router/moonshotai-kimi-k2.5)

[![Mixtral-8x7B Instruct v0.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/67dabe3d-a00a-4cc4-a158-136c8f189137.png)](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)[Together AI](https://modelslab.com/models/together_ai)

 [Mixtral-8x7B Instruct v0.1

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)

[CC](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)[Open Router](https://modelslab.com/models/open_router)

 [Cohere: Command R7B (12-2024)

Closed Source Model](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)

[L3](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.1 70B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B)

[ML](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.2 1B Instruct

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-1B-Instruct)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 VL 30B A3B Instruct

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-instruct)

About Llama 3.1 Nemotron 70B Instruct HF
---

Advanced 70-billion-parameter instruction-tuned LLM for natural language tasks, optimized for helpful, detailed responses and strong performance on leading benchmarks like Arena Hard and MT-Bench, ideal for chatbots, coding, and content generation.

### Technical Specifications

Model IDnvidia-Llama-3.1-Nemotron-70B-Instruct-HFCategoryLLM ModelsTaskText GenerationPrice$0.880000 per million tokensAddedJuly 22, 2025

### 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 Llama 3.1 Nemotron 70B Instruct HF into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/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-3.1-Nemotron-70B-Instruct-HF",
        "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.com/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Llama 3.1 Nemotron 70B Instruct HF API costs $0.880000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/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 Llama 3.1 Nemotron 70B Instruct HF](https://modelslab.com/llama-31-nemotron-70b-instruct-hf) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Llama 3.1 Nemotron 70B Instruct HF FAQ
---

### What is Llama 3.1 Nemotron 70B Instruct HF?

Advanced 70-billion-parameter instruction-tuned LLM for natural language tasks, optimized for helpful, detailed responses and strong performance on leading benchmarks like Arena Hard and MT-Bench, ideal for chatbots, coding, and content generation.

### How do I use the Llama 3.1 Nemotron 70B Instruct HF API?

You can integrate Llama 3.1 Nemotron 70B Instruct HF into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "nvidia-Llama-3.1-Nemotron-70B-Instruct-HF" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Llama 3.1 Nemotron 70B Instruct HF cost?

Llama 3.1 Nemotron 70B Instruct HF costs $0.880000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Llama 3.1 Nemotron 70B Instruct HF model ID?

The model ID for Llama 3.1 Nemotron 70B Instruct HF is "nvidia-Llama-3.1-Nemotron-70B-Instruct-HF". Use this ID in your API requests to specify this model.

### Does Llama 3.1 Nemotron 70B Instruct HF have a free tier?

Yes, ModelsLab offers a free tier that lets you try Llama 3.1 Nemotron 70B Instruct HF 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 - 2026-05-06*