--- 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-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-llama-3.1-nemotron-70b-instruct-hf.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-llama-3.1-nemotron-70b-instruct-hf.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:45:12.798918Z --- Llama 3.1 Nemotron 70B Instruct HF --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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. 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Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-4-Scout-17B-16E) 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-frontend-v2-927501783998.us-east4.run.app/pricing) to get started. PythonJavaScriptcURLPHP ``` 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}") ``` View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-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 Llama 3.1 Nemotron 70B Instruct HF](https://modelslab-frontend-v2-927501783998.us-east4.run.app/llama-31-nemotron-70b-instruct-hf) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Meta](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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 - 2026-05-13*