--- title: Meta: Llama 3.3 70B Instruct | Text Generation | ModelsLab description: Multilingual large language model with 70B parameters, optimized for dialogue and text generation, featuring FP8 quantization for fast inference. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-llama-3.3-70b-instruct.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-llama-3.3-70b-instruct.md type: product component: Playground/LLM/Index generated_at: 2026-07-11T23:04:31.572000Z --- Meta: Llama 3.3 70B Instruct --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.3-70b-instruct/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-llama-3.3-70b-instruct.md) 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 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [#### open\_router/NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 nvidia-llama-3.3-nemotron-super-49b-v1.5 From $0.40/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-llama-3.3-nemotron-super-49b-v1.5) [#### meta/Meta Llama 3.2 11B Vision Instruct Turbo meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo From $0.05/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo) [#### open\_router/Qwen: Qwen3.6 Flash qwen-qwen3.6-flash From $0.66/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.6-flash) [#### open\_router/Cohere: Command R+ (08-2024) cohere-command-r-plus-08-2024 From $6.25/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cohere-command-r-plus-08-2024) [#### open\_router/Qwen: Qwen3 VL 30B A3B Thinking qwen-qwen3-vl-30b-a3b-thinking From $0.84/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-thinking) [#### google\_deepmind/Gemma 3N E4B Instruct google-gemma-3n-E4B-it From $0.09/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google_deepmind/google-gemma-3n-E4B-it) [#### open\_router/Cohere: Command A cohere-command-a From $6.25/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cohere-command-a) [#### open\_router/Sao10K: Llama 3.1 70B Hanami x1 sao10k-l3.1-70b-hanami-x1 From $3.00/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/sao10k-l3.1-70b-hanami-x1) [#### open\_router/OpenAI: GPT-3.5 Turbo Instruct openai-gpt-3.5-turbo-instruct From $1.75/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-3.5-turbo-instruct) [#### modelslab/Modelslab: Uncensored Chat uncensored-chat From $0.75/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/modelslab/uncensored-chat) [#### open\_router/Kwaipilot: KAT-Coder-Pro V2 kwaipilot-kat-coder-pro-v2 From $0.75/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/kwaipilot-kat-coder-pro-v2) [#### open\_router/Anthropic: Claude 3 Haiku anthropic-claude-3-haiku From $0.75/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-3-haiku) [#### open\_router/Tencent: Hunyuan A13B Instruct tencent-hunyuan-a13b-instruct From $0.35/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hunyuan-a13b-instruct) [#### openai/GPT OSS 120b gpt-oss-120b From $0.11/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-oss-120b) [#### open\_router/MoonshotAI: Kimi K2 0905 moonshotai-kimi-k2-0905 From $1.55/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/moonshotai-kimi-k2-0905) [#### open\_router/TheDrummer: Cydonia 24B V4.1 thedrummer-cydonia-24b-v4.1 From $0.40/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/thedrummer-cydonia-24b-v4.1) [#### open\_router/Mistral: Mistral Large 3 2512 mistralai-mistral-large-2512 From $1.00/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-large-2512) [#### together\_ai/GLM 5.1 FP4 zai-org-GLM-5.1 From $2.90/M tokens](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/zai-org-GLM-5.1) 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 3.3 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-instruct CategoryLLM Models TaskText Generation Price$0.21 per million tokens AddedJuly 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 Meta: Llama 3.3 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-3.3-70b-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-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 3.3 70B Instruct](https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-33-70b-instruct-turbo) [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 3.3 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 - 2026-07-12*