--- title: Llama 3.1 70B API | Text Generation | ModelsLab description: Build with Llama 3.1 70B API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B.md canonical: https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B.md type: product component: Playground/LLM/Index generated_at: 2026-04-14T22:41:47.378179Z --- Llama 3.1 70B --- [LLMs.txt](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-Meta-Llama-3.1-70B.md) meta-llama-Meta-Llama-3.1-70B meta-llama Closed Source Model Llama 3.1 70B --- 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 70B meta-llama meta-llama-Meta-Llama-3.1-70B 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.com/models?feature=llmaster) [MM](https://modelslab.com/models/open_router/mistralai-ministral-14b-2512)[Open Router](https://modelslab.com/models/open_router) [Mistral: Ministral 3 14B 2512 Closed Source Model](https://modelslab.com/models/open_router/mistralai-ministral-14b-2512) [NN](https://modelslab.com/models/open_router/nvidia-nemotron-nano-9b-v2-free)[Open Router](https://modelslab.com/models/open_router) [NVIDIA: Nemotron Nano 9B V2 (free) Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-nano-9b-v2-free) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-search-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o Search Preview Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-search-preview) [Q0](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 0.6B Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B) [OG](https://modelslab.com/models/open_router/openai-gpt-4-0314)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 (older v0314) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-0314) [MK](https://modelslab.com/models/open_router/moonshotai-kimi-k2-0905)[Open Router](https://modelslab.com/models/open_router) [MoonshotAI: Kimi K2 0905 Closed Source Model](https://modelslab.com/models/open_router/moonshotai-kimi-k2-0905) [GG](https://modelslab.com/models/open_router/google-gemma-3-12b-it)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 3 12B Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-12b-it) [OG](https://modelslab.com/models/open_router/openai-gpt-5-image)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Image Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5-image) [W2](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b)[Open Router](https://modelslab.com/models/open_router) [WizardLM-2 8x22B Closed Source Model](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b) [LL](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free)[Open Router](https://modelslab.com/models/open_router) [LiquidAI: LFM2.5-1.2B-Instruct (free) Closed Source Model](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free) [DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2)[Together AI](https://modelslab.com/models/together_ai) [Deepseek V3.2 Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 Next 80B A3B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-instruct) [MM](https://modelslab.com/models/open_router/minimax-minimax-m2.5-free)[Open Router](https://modelslab.com/models/open_router) [MiniMax: MiniMax M2.5 (free) Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m2.5-free) [XG](https://modelslab.com/models/open_router/x-ai-grok-4-fast)[Open Router](https://modelslab.com/models/open_router) [xAI: Grok 4 Fast Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4-fast) [ZG](https://modelslab.com/models/open_router/z-ai-glm-4.7)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 4.7 Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.7) [N3](https://modelslab.com/models/together_ai/nim-nvidia-llama-3.1-nemotron-70b-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/nvidia/llama-3.1-nemotron-70b-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-nvidia-llama-3.1-nemotron-70b-instruct) [D1](https://modelslab.com/models/together_ai/agentica-org-DeepCoder-14B-Preview)[Together AI](https://modelslab.com/models/together_ai) [Deepcoder 14B Preview Closed Source Model](https://modelslab.com/models/together_ai/agentica-org-DeepCoder-14B-Preview) [Q4](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 4B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Base) About Llama 3.1 70B --- Llama 3.1 70B is a text generation AI model by Meta Llama available on ModelsLab. Access Llama 3.1 70B through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDmeta-llama-Meta-Llama-3.1-70BCategoryLLM ModelsTaskText GenerationAddedApril 4, 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 Llama 3.1 70B into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/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": "meta-llama-Meta-Llama-3.1-70B", "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.com/models/meta-llama/meta-llama-Meta-Llama-3.1-70B/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 [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta Llama](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Llama 3.1 70B FAQ --- ### What is Llama 3.1 70B? Llama 3.1 70B is a text generation AI model by Meta Llama available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Llama 3.1 70B API? You can integrate Llama 3.1 70B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-Meta-Llama-3.1-70B" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the Llama 3.1 70B model ID? The model ID for Llama 3.1 70B is "meta-llama-Meta-Llama-3.1-70B". Use this ID in your API requests to specify this model. ### Does Llama 3.1 70B have a free tier? Yes, ModelsLab offers a free tier that lets you try Llama 3.1 70B 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 - 2026-04-15*