--- 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.com/models/meta/meta-llama-meta-llama-3.1-405b-instruct-turbo.md canonical: https://modelslab.com/models/meta/meta-llama-meta-llama-3.1-405b-instruct-turbo.md type: product component: Playground/LLM/Index generated_at: 2026-05-05T20:17:04.645613Z --- Meta Llama 3.1 405B Instruct Turbo --- [LLMs.txt](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo/llms.txt) [.md](https://modelslab.com/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. 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) [Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 7B Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct) [MW](https://modelslab.com/models/open_router/mancer-weaver)[Open Router](https://modelslab.com/models/open_router) [Mancer: Weaver (alpha) Closed Source Model](https://modelslab.com/models/open_router/mancer-weaver) [DR](https://modelslab.com/models/open_router/deepseek-deepseek-r1-0528)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: R1 0528 Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-r1-0528) [TU](https://modelslab.com/models/open_router/thedrummer-unslopnemo-12b)[Open Router](https://modelslab.com/models/open_router) [TheDrummer: UnslopNemo 12B Closed Source Model](https://modelslab.com/models/open_router/thedrummer-unslopnemo-12b) [G4](https://modelslab.com/models/together_ai/google-gemma-4-31B-it)[Together AI](https://modelslab.com/models/together_ai) [Gemma 4 31B-it FP8 Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-4-31B-it) [QQ](https://modelslab.com/models/open_router/qwen-qwen3.6-flash)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3.6 Flash Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.6-flash) [Q0](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 0.6B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-0.6B-Base) [MM](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Small 3.2 24B Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini-2024-07-18)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o-mini (2024-07-18) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini-2024-07-18) [MS](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)[ModelsLab](https://modelslab.com/models/mistral_ai) [Mistral Small (24B) Instruct 25.01 Closed Source Model](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501) [ZG](https://modelslab.com/models/open_router/z-ai-glm-5-turbo)[Open Router](https://modelslab.com/models/open_router) [Z.ai: GLM 5 Turbo Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-5-turbo) [ML](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama 3.3 70B Instruct Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct) [OG](https://modelslab.com/models/open_router/openai-gpt-5.5-pro)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.5 Pro Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.5-pro) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-max-thinking)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 Max Thinking Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-max-thinking) [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) [NH](https://modelslab.com/models/open_router/nousresearch-hermes-4-70b)[Open Router](https://modelslab.com/models/open_router) [Nous: Hermes 4 70B Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-4-70b) [G2](https://modelslab.com/models/together_ai/google-gemma-2-9b-it)[Together AI](https://modelslab.com/models/together_ai) [Gemma 2 9B It Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-2-9b-it) [AC](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3.7 Sonnet (thinking) Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking) About 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. ### Technical Specifications Model IDmeta-llama-Meta-Llama-3.1-405B-Instruct-TurboCategoryLLM ModelsTaskText GenerationPrice$3.500000 per million tokensAddedJuly 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 3.1 405B Instruct Turbo 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-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}") ``` View the [full API documentation](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo/api) for SDKs, code examples in Python, JavaScript, and more. ### 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.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 405B Instruct Turbo](https://modelslab.com/meta-llama-31-405b-instruct-turbo) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Meta](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/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 - 2026-05-06*