--- title: Meta Llama 3 8B Instruct Reference | Text Generation | ModelsLab description: 8B parameter large language model optimized for dialogue, offering state-of-the-art performance in text generation and reasoning tasks. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-3-8b-chat-hf.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-llama-3-8b-chat-hf.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:45:28.367276Z --- Meta Llama 3 8B Instruct Reference --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-Llama-3-8b-chat-hf/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-Llama-3-8b-chat-hf.md) meta-llama-Llama-3-8b-chat-hf meta-llama Closed Source Model $0.035000 / call Meta Llama 3 8B Instruct Reference --- 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 8B Instruct Reference meta-llama meta-llama-Llama-3-8b-chat-hf Copy model ID PricingInput $0.03 / 1M tokens Output $0.04 / 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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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-3-8b-chat-hf", "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-frontend-v2-927501783998.us-east4.run.app/models/meta-llama/meta-llama-Llama-3-8b-chat-hf/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Meta Llama 3 8B Instruct Reference API costs $0.035000 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 8B Instruct Reference](https://modelslab-frontend-v2-927501783998.us-east4.run.app/meta-llama-3-8b-instruct-reference) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Meta Llama](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 8B Instruct Reference FAQ --- ### What is Meta Llama 3 8B Instruct Reference? 8B parameter large language model optimized for dialogue, offering state-of-the-art performance in text generation and reasoning tasks. ### How do I use the Meta Llama 3 8B Instruct Reference API? You can integrate Meta Llama 3 8B Instruct Reference 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-3-8b-chat-hf" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta Llama 3 8B Instruct Reference cost? Meta Llama 3 8B Instruct Reference costs $0.035000 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 8B Instruct Reference model ID? The model ID for Meta Llama 3 8B Instruct Reference is "meta-llama-Llama-3-8b-chat-hf". Use this ID in your API requests to specify this model. ### Does Meta Llama 3 8B Instruct Reference have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta Llama 3 8B Instruct Reference 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 - 2026-05-13*