--- title: Meta Llama 3.1 405B Instruct Turbo | Text Generation | ModelsLab description: State-of-the-art 405 billion parameter large language model optimized for instruction-following with a 131K token context window, fast inference, and. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-meta-llama-3.1-405b-instruct-turbo.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-meta-llama-3.1-405b-instruct-turbo.md type: product component: Playground/LLM/Index generated_at: 2026-05-21T10:31:01.682285Z --- Meta Llama 3.1 405B Instruct Turbo --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo.md) meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo meta Closed Source Model $3.500000 / call Meta Llama 3.1 405B Instruct Turbo --- 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 405B Instruct Turbo meta meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo Copy model ID PricingInput $3.50 / 1M tokens Output $3.50 / 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. 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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-Meta-Llama-3.1-405B-Instruct-Turbo", "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 405B Instruct Turbo API costs $3.500000 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 405B Instruct Turbo](https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-31-405b-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 3.1 405B Instruct Turbo FAQ --- ### What is Meta Llama 3.1 405B Instruct Turbo? State-of-the-art 405 billion parameter large language model optimized for instruction-following with a 131K token context window, fast inference, and advanced multilingual, reasoning, and coding capabilities. ### How do I use the Meta Llama 3.1 405B Instruct Turbo API? You can integrate Meta Llama 3.1 405B Instruct Turbo 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-3.1-405B-Instruct-Turbo" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta Llama 3.1 405B Instruct Turbo cost? Meta Llama 3.1 405B Instruct Turbo costs $3.500000 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 405B Instruct Turbo model ID? The model ID for Meta Llama 3.1 405B Instruct Turbo is "meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo". Use this ID in your API requests to specify this model. ### Does Meta Llama 3.1 405B Instruct Turbo have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta Llama 3.1 405B Instruct Turbo 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 - 2026-05-21*