--- title: Meta: Llama 3.1 70B Instruct | Text Generation | ModelsLab description: Build with Meta: Llama 3.1 70B Instruct API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/meta-llama-llama-3.1-70b-instruct.md canonical: https://modelslab.com/models/modelslab/meta-llama-llama-3.1-70b-instruct.md type: product component: Playground/LLM/Index generated_at: 2026-06-28T07:48:45.376552Z --- Meta: Llama 3.1 70B Instruct --- [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-llama-3.1-70b-instruct/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-llama-3.1-70b-instruct.md) Meta: Llama 3.1 70B Instruct --- 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 ### Meta: Llama 3.1 70B Instruct meta-llama meta-llama-llama-3.1-70b-instruct Copy model ID PricingInput $0.40 / 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 Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [#### open\_router/Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k-l3.1-euryale-70b From $0.85/M tokens](https://modelslab.com/models/open_router/sao10k-l3.1-euryale-70b) [#### open\_router/Qwen: Qwen2.5 7B Instruct qwen-qwen-2.5-7b-instruct From $0.07/M tokens](https://modelslab.com/models/open_router/qwen-qwen-2.5-7b-instruct) [#### open\_router/Meta: Llama 3.1 8B Instruct meta-llama-llama-3.1-8b-instruct From $0.03/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct) [#### open\_router/DeepSeek: R1 Distill Llama 70B deepseek-deepseek-r1-distill-llama-70b From $0.80/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-r1-distill-llama-70b) [#### open\_router/Mistral: Mistral Small 4 mistralai-mistral-small-2603 From $0.38/M tokens](https://modelslab.com/models/open_router/mistralai-mistral-small-2603) [#### open\_router/Meta: Llama 4 Scout meta-llama-llama-4-scout From $0.20/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-4-scout) [#### open\_router/Poolside: Laguna XS.2 poolside-laguna-xs.2 From $0.15/M tokens](https://modelslab.com/models/open_router/poolside-laguna-xs.2) [#### deepseek/DeepSeek R1 Distill Qwen 1.5B deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B From $0.18/M tokens](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B) [#### open\_router/OpenAI: GPT-3.5 Turbo Instruct openai-gpt-3.5-turbo-instruct From $1.75/M tokens](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo-instruct) [#### open\_router/OpenAI: GPT-4o-mini (2024-07-18) openai-gpt-4o-mini-2024-07-18 From $0.38/M tokens](https://modelslab.com/models/open_router/openai-gpt-4o-mini-2024-07-18) [#### open\_router/Qwen: Qwen3 30B A3B Instruct 2507 qwen-qwen3-30b-a3b-instruct-2507 From $0.12/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507) [#### together\_ai/Deepseek V4 Pro deepseek-ai-DeepSeek-V4-Pro From $3.25/M tokens](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V4-Pro) [#### open\_router/Qwen: Qwen3 Next 80B A3B Thinking qwen-qwen3-next-80b-a3b-thinking From $0.44/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking) [#### open\_router/LiquidAI: LFM2-24B-A2B liquid-lfm-2-24b-a2b From $0.07/M tokens](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b) [#### open\_router/Baidu: ERNIE 4.5 VL 424B A47B baidu-ernie-4.5-vl-424b-a47b From $0.83/M tokens](https://modelslab.com/models/open_router/baidu-ernie-4.5-vl-424b-a47b) [#### open\_router/StepFun: Step 3.5 Flash stepfun-step-3.5-flash From $0.20/M tokens](https://modelslab.com/models/open_router/stepfun-step-3.5-flash) [#### together\_ai/MiniMax M2.7 FP4 MiniMaxAI-MiniMax-M2.7 From $0.75/M tokens](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7) [#### open\_router/Meta: Llama 3.3 70B Instruct meta-llama-llama-3.3-70b-instruct From $0.21/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MU Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Meta: Llama 3.1 70B Instruct --- Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong... ### Technical Specifications Model IDmeta-llama-llama-3.1-70b-instruct CategoryLLM Models TaskText Generation Price$0.4 per million tokens AddedFebruary 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 Meta: Llama 3.1 70B Instruct 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-llama-3.1-70b-instruct", "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}") ``` ### Pricing Meta: Llama 3.1 70B Instruct API costs $0.400000 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 Meta: Llama 3.1 70B Instruct](https://modelslab.com/meta-llama-31-70b-instruct) [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) Meta: Llama 3.1 70B Instruct FAQ --- ### What is Meta: Llama 3.1 70B Instruct? Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong... ### How do I use the Meta: Llama 3.1 70B Instruct API? You can integrate Meta: Llama 3.1 70B Instruct into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "meta-llama-llama-3.1-70b-instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta: Llama 3.1 70B Instruct cost? Meta: Llama 3.1 70B Instruct costs $0.400000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Meta: Llama 3.1 70B Instruct model ID? The model ID for Meta: Llama 3.1 70B Instruct is "meta-llama-llama-3.1-70b-instruct". Use this ID in your API requests to specify this model. ### Does Meta: Llama 3.1 70B Instruct have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta: Llama 3.1 70B Instruct 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 - 2026-06-28*