--- title: Meta: Llama 3.3 70B Instruct | Text Generation | ModelsLab description: Build with Meta: Llama 3.3 70B Instruct API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/together_ai/meta-llama-Llama-3.3-70B-Instruct.md canonical: https://modelslab.com/models/together_ai/meta-llama-Llama-3.3-70B-Instruct.md type: product component: Playground/LLM/Index generated_at: 2026-05-18T10:24:40.965566Z --- Meta: Llama 3.3 70B Instruct --- [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-llama-3.3-70b-instruct.md) meta-llama-llama-3.3-70b-instruct meta-llama Closed Source Model $0.210000 / call Meta: Llama 3.3 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 3.3 70B Instruct meta-llama meta-llama-llama-3.3-70b-instruct Copy model ID PricingInput $0.10 / 1M tokens Output $0.32 / 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) [OG](https://modelslab.com/models/open_router/openai-gpt-4-turbo-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 Turbo Preview Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-turbo-preview) [![OpenAI: GPT-5.5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/fb44d2da-328f-40c6-9d21-b64a396cee9b.png)](https://modelslab.com/models/open_router/openai-gpt-5.5)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.5 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.5) [AC](https://modelslab.com/models/open_router/anthropic-claude-3-haiku)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3 Haiku Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3-haiku) [![Anthropic: Claude Sonnet 4.5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/aae18a61-9b88-43f7-83f5-4ec4ead6d4b6.png)](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4.5)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude Sonnet 4.5 Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4.5) [![OpenAI: GPT-5.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/ab17490b-567d-42a6-9eb8-691eee1499ca.png)](https://modelslab.com/models/open_router/openai-gpt-5.1)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.1 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.1) [![Qwen2.5-VL (72B) Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/31af8203-d9ed-4e38-84c9-af29b9fa0779.png)](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5-VL (72B) Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct) [DD](https://modelslab.com/models/open_router/deepseek-deepseek-v3.1-terminus)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: DeepSeek V3.1 Terminus Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-v3.1-terminus) [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) [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) [![Xiaomi: MiMo-V2.5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/a5c84b70-eaca-4e8f-922b-7a444e12bdaa.png)](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5)[Open Router](https://modelslab.com/models/open_router) [Xiaomi: MiMo-V2.5 Closed Source Model](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5) [OG](https://modelslab.com/models/open_router/openai-gpt-5-chat)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Chat Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5-chat) [![Xiaomi: MiMo-V2.5-Pro](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/ef6ab696-08bc-4ef9-ab7a-83e698fdeb9a.png)](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5-pro)[Open Router](https://modelslab.com/models/open_router) [Xiaomi: MiMo-V2.5-Pro Closed Source Model](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5-pro) [SR](https://modelslab.com/models/open_router/switchpoint-router)[Open Router](https://modelslab.com/models/open_router) [Switchpoint Router Closed Source Model](https://modelslab.com/models/open_router/switchpoint-router) [![GPT 5.2](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/2bdd00f4-1692-49d8-a562-72cb1753d0ff.png)](https://modelslab.com/models/openai/gpt-5.2)[Open Ai](https://modelslab.com/models/openai) [GPT 5.2 Closed Source Model](https://modelslab.com/models/openai/gpt-5.2) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-coder-flash)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 Coder Flash Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-coder-flash) [OG](https://modelslab.com/models/open_router/openai-gpt-oss-120b-free)[Open Router](https://modelslab.com/models/open_router) [OpenAI: gpt-oss-120b (free) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-120b-free) [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) [![Nvidia Nemotron 3 Super 120B A12b Bf16](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/17fcf753-6991-4dd7-8ab4-4dd01d646b42.png)](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-3-Super-120B-A12B-BF16)[Together AI](https://modelslab.com/models/together_ai) [Nvidia Nemotron 3 Super 120B A12b Bf16 Closed Source Model](https://modelslab.com/models/together_ai/nvidia-NVIDIA-Nemotron-3-Super-120B-A12B-BF16) About Meta: Llama 3.3 70B Instruct --- The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model... ### Technical Specifications Model IDmeta-llama-llama-3.3-70b-instructCategoryLLM ModelsTaskText GenerationPrice$0.210000 per million tokensAddedFebruary 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 3.3 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-3.3-70b-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 3.3 70B Instruct API costs $0.210000 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 3.3 70B Instruct](https://modelslab.com/meta-llama-33-70b-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 3.3 70B Instruct FAQ --- ### What is Meta: Llama 3.3 70B Instruct? The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model... ### How do I use the Meta: Llama 3.3 70B Instruct API? You can integrate Meta: Llama 3.3 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-3.3-70b-instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta: Llama 3.3 70B Instruct cost? Meta: Llama 3.3 70B Instruct costs $0.210000 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 3.3 70B Instruct model ID? The model ID for Meta: Llama 3.3 70B Instruct is "meta-llama-llama-3.3-70b-instruct". Use this ID in your API requests to specify this model. ### Does Meta: Llama 3.3 70B Instruct have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta: Llama 3.3 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 - 2026-05-18*