--- title: Meta: Llama 3.2 3B Instruct | Text Generation | ModelsLab description: Build with Meta: Llama 3.2 3B Instruct API by Meta Llama. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/meta-llama-llama-3.2-3b-instruct.md canonical: https://modelslab.com/models/modelslab/meta-llama-llama-3.2-3b-instruct.md type: product component: Playground/LLM/Index generated_at: 2026-05-22T18:30:07.082634Z --- Meta: Llama 3.2 3B Instruct --- [LLMs.txt](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct/llms.txt) [.md](https://modelslab.com/models/meta-llama/meta-llama-llama-3.2-3b-instruct.md) meta-llama-llama-3.2-3b-instruct meta-llama Closed Source Model $0.192950 / call Meta: Llama 3.2 3B 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 3.2 3B Instruct meta-llama meta-llama-llama-3.2-3b-instruct Copy model ID PricingInput $0.0509 / 1M tokens Output $0.335 / 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) [#### qwen/Qwen QwQ-32B Qwen-QwQ-32B From $1.20/M tokens](https://modelslab.com/models/qwen/Qwen-QwQ-32B) [#### open\_router/Perplexity: Sonar Pro Search perplexity-sonar-pro-search From $9.00/M tokens](https://modelslab.com/models/open_router/perplexity-sonar-pro-search) [#### together\_ai/nim/meta/llama-3.1-8b-instruct nim-meta-llama-3.1-8b-instruct Free](https://modelslab.com/models/together_ai/nim-meta-llama-3.1-8b-instruct) [#### together\_ai/Cogito V1 Preview Qwen 14B deepcogito-cogito-v1-preview-qwen-14B Free](https://modelslab.com/models/together_ai/deepcogito-cogito-v1-preview-qwen-14B) [#### open\_router/Deep Cogito: Cogito v2.1 671B deepcogito-cogito-v2.1-671b From $1.25/M tokens](https://modelslab.com/models/open_router/deepcogito-cogito-v2.1-671b) [#### open\_router/OpenAI: gpt-oss-safeguard-20b openai-gpt-oss-safeguard-20b From $0.19/M tokens](https://modelslab.com/models/open_router/openai-gpt-oss-safeguard-20b) [#### 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/AI21: Jamba Large 1.7 ai21-jamba-large-1.7 From $5.00/M tokens](https://modelslab.com/models/open_router/ai21-jamba-large-1.7) [#### open\_router/Qwen: Qwen3.5-122B-A10B qwen-qwen3.5-122b-a10b From $1.17/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.5-122b-a10b) [#### together\_ai/Pearl-ai Gemma-4-31B-it-pearl pearl-ai-gemma-4-31b-it From $0.57/M tokens](https://modelslab.com/models/together_ai/pearl-ai-gemma-4-31b-it) [#### openai/GPT OSS 120b gpt-oss-120b From $0.11/M tokens](https://modelslab.com/models/openai/gpt-oss-120b) [#### open\_router/Anthropic: Claude Haiku 4.5 anthropic-claude-haiku-4.5 From $3.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-haiku-4.5) [#### open\_router/Meta: Llama 4 Scout meta-llama-llama-4-scout From $0.19/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-4-scout) [#### together\_ai/Meta Llama 3 8B Instruct Reference meta-llama-Llama-3-8b-chat-hf From $0.20/M tokens](https://modelslab.com/models/together_ai/meta-llama-Llama-3-8b-chat-hf) [#### together\_ai/Llama 4 Maverick Instruct (17Bx128E) FP8 meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8 From $0.56/M tokens](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [#### open\_router/Z.ai: GLM 5 z-ai-glm-5 From $1.26/M tokens](https://modelslab.com/models/open_router/z-ai-glm-5) [#### open\_router/Perplexity: Sonar Pro perplexity-sonar-pro From $9.00/M tokens](https://modelslab.com/models/open_router/perplexity-sonar-pro) [#### open\_router/Sao10K: Llama 3 8B Lunaris sao10k-l3-lunaris-8b From $0.04/M tokens](https://modelslab.com/models/open_router/sao10k-l3-lunaris-8b) About Meta: Llama 3.2 3B Instruct --- Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it... ### Technical Specifications Model IDmeta-llama-llama-3.2-3b-instructCategoryLLM ModelsTaskText GenerationPrice$0.192950 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 3.2 3B Instruct 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-3.2-3b-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 3.2 3B Instruct API costs $0.192950 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 3.2 3B Instruct](https://modelslab.com/meta-llama-32-3b-instruct) [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 3.2 3B Instruct FAQ --- ### What is Meta: Llama 3.2 3B Instruct? Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it... ### How do I use the Meta: Llama 3.2 3B Instruct API? You can integrate Meta: Llama 3.2 3B 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-3.2-3b-instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Meta: Llama 3.2 3B Instruct cost? Meta: Llama 3.2 3B Instruct costs $0.192950 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 3.2 3B Instruct model ID? The model ID for Meta: Llama 3.2 3B Instruct is "meta-llama-llama-3.2-3b-instruct". Use this ID in your API requests to specify this model. ### Does Meta: Llama 3.2 3B Instruct have a free tier? Yes, ModelsLab offers a free tier that lets you try Meta: Llama 3.2 3B 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 - 2026-05-23*