--- title: Meta: Llama 3.1 70B Instruct | Text Generation | ModelsLab description: Build with Meta: Llama 3.1 70B Instruct API by Meta. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-llama-3.1-70b-instruct.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-llama-3.1-70b-instruct.md type: product component: Playground/LLM/Index generated_at: 2026-07-11T23:04:31.456325Z --- Meta: Llama 3.1 70B Instruct --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.1-70b-instruct/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/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 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [#### open\_router/Arcee AI: Trinity Large Thinking arcee-ai-trinity-large-thinking From $0.53/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-trinity-large-thinking) [#### open\_router/MiniMax: MiniMax M2.7 minimax-minimax-m2.7 From $0.60/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.7) [#### open\_router/Google: Gemma 4 31B google-gemma-4-31b-it From $0.23/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-4-31b-it) [#### open\_router/Qwen: Qwen3 Coder 30B A3B Instruct qwen-qwen3-coder-30b-a3b-instruct From $0.17/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-30b-a3b-instruct) [#### open\_router/MiniMax: MiniMax M1 minimax-minimax-m1 From $1.30/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1) [#### open\_router/OpenAI: gpt-oss-20b openai-gpt-oss-20b From $0.08/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-20b) [#### open\_router/Google: Gemini 3.1 Pro Preview google-gemini-3.1-pro-preview From $7.00/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3.1-pro-preview) [#### open\_router/Mistral: Mistral Medium 3.5 mistralai-mistral-medium-3-5 From $4.50/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3-5) [#### open\_router/Z.ai: GLM 5.2 z-ai-glm-5.2 From $0.72/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-5.2) [#### open\_router/Google: Nano Banana Pro (Gemini 3 Pro Image) google-gemini-3-pro-image From $7.00/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-pro-image) [#### open\_router/DeepSeek: DeepSeek V4 Pro deepseek-deepseek-v4-pro From $0.65/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v4-pro) [#### open\_router/Qwen: Qwen3 VL 8B Thinking qwen-qwen3-vl-8b-thinking From $0.74/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-8b-thinking) [#### open\_router/OpenAI: GPT-4o (2024-08-06) openai-gpt-4o-2024-08-06 From $6.25/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-2024-08-06) [#### open\_router/DeepSeek: DeepSeek V4 Flash deepseek-deepseek-v4-flash From $0.12/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v4-flash) [#### open\_router/OpenAI: GPT-4o openai-gpt-4o From $6.25/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o) [#### open\_router/Tencent: Hy3 (free) tencent-hy3-free Free](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hy3-free) [#### open\_router/Mistral: Mistral Small 3 mistralai-mistral-small-24b-instruct-2501 From $0.07/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-24b-instruct-2501) [#### open\_router/Amazon: Nova Pro 1.0 amazon-nova-pro-v1 From $2.00/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-pro-v1) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llm&provider=open-source-models) [MU Popular](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-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": "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-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 Meta: Llama 3.1 70B Instruct](https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-31-70b-instruct) [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) 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 - 2026-07-12*