--- title: XAI: Grok 4.20 Multi Agent API | Text Generation | ModelsLab description: Build with XAI: Grok 4.20 Multi Agent API by X Ai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/x-ai/x-ai-grok-4.20-multi-agent/api.md canonical: https://modelslab.com/models/x-ai/x-ai-grok-4.20-multi-agent/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-23T03:23:17.584952Z --- xAI: Grok 4.20 Multi-Agent --- [LLMs.txt](https://modelslab.com/models/open_router/x-ai-grok-4.20-multi-agent/llms.txt) [.md](https://modelslab.com/models/x-ai/x-ai-grok-4.20-multi-agent.md) x-ai-grok-4.20-multi-agent x-ai Closed Source Model $4.000000 / call xAI: Grok 4.20 Multi-Agent --- 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 ### xAI: Grok 4.20 Multi-Agent x-ai x-ai-grok-4.20-multi-agent Copy model ID PricingInput $2.00 / 1M tokens Output $6.00 / 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) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o (2024-08-06) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06) [GG](https://modelslab.com/models/open_router/google-gemma-3-27b-it)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 3 27B Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-27b-it) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 30B A3B Instruct 2507 Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-instruct-2507) [ML](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama 3.2 3B Instruct (free) Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free) [MM](https://modelslab.com/models/open_router/minimax-minimax-m2)[Open Router](https://modelslab.com/models/open_router) [MiniMax: MiniMax M2 Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m2) [OG](https://modelslab.com/models/open_router/openai-gpt-4-0314)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4 (older v0314) Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4-0314) [DR](https://modelslab.com/models/open_router/deepseek-deepseek-r1)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: R1 Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-r1) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-search-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o Search Preview Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-search-preview) [![GPT-5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/a05bf5f0-fe1a-4815-b135-3325beef2516.webp)](https://modelslab.com/models/openai/gpt-5)[Open Ai](https://modelslab.com/models/openai) [GPT-5 Closed Source Model](https://modelslab.com/models/openai/gpt-5) [Q2](https://modelslab.com/models/together_ai/Qwen-Qwen2-1.5B)[Together AI](https://modelslab.com/models/together_ai) [Qwen 2 (1.5B) Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2-1.5B) [Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 72B Instruct Turbo Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo) [OO](https://modelslab.com/models/open_router/openai-o4-mini)[Open Router](https://modelslab.com/models/open_router) [OpenAI: o4 Mini Closed Source Model](https://modelslab.com/models/open_router/openai-o4-mini) [MM](https://modelslab.com/models/open_router/minimax-minimax-m1)[Open Router](https://modelslab.com/models/open_router) [MiniMax: MiniMax M1 Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m1) [BS](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-lite)[Open Router](https://modelslab.com/models/open_router) [ByteDance Seed: Seed-2.0-Lite Closed Source Model](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-lite) [DR](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)[Together AI](https://modelslab.com/models/together_ai) [DeepSeek R1 Distill Qwen 14B Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B) [NH](https://modelslab.com/models/open_router/nousresearch-hermes-4-405b)[Open Router](https://modelslab.com/models/open_router) [Nous: Hermes 4 405B Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-4-405b) [DR](https://modelslab.com/models/open_router/deepseek-deepseek-r1-distill-llama-70b)[Open Router](https://modelslab.com/models/open_router) [DeepSeek: R1 Distill Llama 70B Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-r1-distill-llama-70b) [NH](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b)[Open Router](https://modelslab.com/models/open_router) [Nous: Hermes 3 405B Instruct Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b) About XAI: Grok 4.20 Multi-Agent --- Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information... ### Technical Specifications Model IDx-ai-grok-4.20-multi-agentCategoryLLM ModelsTaskText GenerationPrice$4.000000 per million tokensAddedMarch 31, 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 XAI: Grok 4.20 Multi-Agent 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": "x-ai-grok-4.20-multi-agent", "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/x-ai/x-ai-grok-4.20-multi-agent/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing XAI: Grok 4.20 Multi-Agent API costs $4.000000 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 X Ai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) XAI: Grok 4.20 Multi-Agent FAQ --- ### What is XAI: Grok 4.20 Multi-Agent? Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information... ### How do I use the XAI: Grok 4.20 Multi-Agent API? You can integrate XAI: Grok 4.20 Multi-Agent into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "x-ai-grok-4.20-multi-agent" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does XAI: Grok 4.20 Multi-Agent cost? XAI: Grok 4.20 Multi-Agent costs $4.000000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the XAI: Grok 4.20 Multi-Agent model ID? The model ID for XAI: Grok 4.20 Multi-Agent is "x-ai-grok-4.20-multi-agent". Use this ID in your API requests to specify this model. ### Does XAI: Grok 4.20 Multi-Agent have a free tier? Yes, ModelsLab offers a free tier that lets you try XAI: Grok 4.20 Multi-Agent 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 - 2026-04-23*