--- title: Meta: Llama 4 Scout API | Text Generation | ModelsLab description: Build with Meta: Llama 4 Scout API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/meta-llama-llama-4-scout.md canonical: https://modelslab.com/models/modelslab/meta-llama-llama-4-scout.md type: product component: Playground/LLM/Index generated_at: 2026-05-22T19:07:32.327219Z --- Meta: Llama 4 Scout --- [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-llama-4-scout/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-llama-4-scout.md) meta-llama-llama-4-scout meta-llama Closed Source Model $0.190000 / call Meta: Llama 4 Scout --- 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 4 Scout meta-llama meta-llama-llama-4-scout Copy model ID PricingInput $0.08 / 1M tokens Output $0.30 / 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) [#### open\_router/Qwen: Qwen3 Next 80B A3B Thinking qwen-qwen3-next-80b-a3b-thinking From $0.44/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking) [#### open\_router/Morph: Morph V3 Fast morph-morph-v3-fast From $1.00/M tokens](https://modelslab.com/models/open_router/morph-morph-v3-fast) [#### together\_ai/Qwen3 Coder 30B A3b Instruct Qwen-Qwen3-Coder-30B-A3B-Instruct Free](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-30B-A3B-Instruct) [#### open\_router/Meta: Llama 3.2 1B Instruct meta-llama-llama-3.2-1b-instruct From $0.11/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-3.2-1b-instruct) [#### google\_deepmind/Gemma-2 Instruct (27B) google-gemma-2-27b-it From $0.65/M tokens](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it) [#### open\_router/Meta: Llama Guard 4 12B meta-llama-llama-guard-4-12b From $0.18/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b) [#### open\_router/DeepSeek: DeepSeek V3.1 deepseek-deepseek-chat-v3.1 From $0.50/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3.1) [#### open\_router/Qwen: Qwen3.5 397B A17B qwen-qwen3.5-397b-a17b From $1.36/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.5-397b-a17b) [#### open\_router/OpenAI: GPT-5.2 Chat openai-gpt-5.2-chat From $7.88/M tokens](https://modelslab.com/models/open_router/openai-gpt-5.2-chat) [#### open\_router/OpenAI: GPT-5.4 Image 2 openai-gpt-5.4-image-2 From $11.50/M tokens](https://modelslab.com/models/open_router/openai-gpt-5.4-image-2) [#### open\_router/Tencent: Hunyuan A13B Instruct tencent-hunyuan-a13b-instruct From $0.35/M tokens](https://modelslab.com/models/open_router/tencent-hunyuan-a13b-instruct) [#### open\_router/NVIDIA: Nemotron 3 Nano 30B A3B (free) nvidia-nemotron-3-nano-30b-a3b-free Free](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free) [#### open\_router/Arcee AI: Trinity Large Thinking arcee-ai-trinity-large-thinking From $0.54/M tokens](https://modelslab.com/models/open_router/arcee-ai-trinity-large-thinking) [#### open\_router/Writer: Palmyra X5 writer-palmyra-x5 From $3.30/M tokens](https://modelslab.com/models/open_router/writer-palmyra-x5) [#### open\_router/Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k-l3.1-euryale-70b From $0.85/M tokens](https://modelslab.com/models/open_router/sao10k-l3.1-euryale-70b) [#### open\_router/xAI: Grok 4.3 x-ai-grok-4.3 From $1.88/M tokens](https://modelslab.com/models/open_router/x-ai-grok-4.3) [#### open\_router/Baidu Qianfan: CoBuddy (free) baidu-cobuddy-free Free](https://modelslab.com/models/open_router/baidu-cobuddy-free) [#### open\_router/Z.ai: GLM 5.1 z-ai-glm-5.1 From $2.03/M tokens](https://modelslab.com/models/open_router/z-ai-glm-5.1) About Meta: Llama 4 Scout --- Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input... ### Technical Specifications Model IDmeta-llama-llama-4-scoutCategoryLLM ModelsTaskText GenerationPrice$0.190000 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 4 Scout 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-4-scout", "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 4 Scout API costs $0.190000 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 [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 4 Scout FAQ --- ### What is Meta: Llama 4 Scout? Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input... ### How do I use the Meta: Llama 4 Scout API? You can integrate Meta: Llama 4 Scout 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-4-scout" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta: Llama 4 Scout cost? Meta: Llama 4 Scout costs $0.190000 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 4 Scout model ID? The model ID for Meta: Llama 4 Scout is "meta-llama-llama-4-scout". Use this ID in your API requests to specify this model. ### Does Meta: Llama 4 Scout have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta: Llama 4 Scout 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 - 2026-05-23*