--- title: MiniMax: MiniMax M1 API | Text Generation | ModelsLab description: Open-weight hybrid MoE reasoning model with 456B parameters, 1M token context, 80K thinking budget, and lightning attention for complex problem-solving. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/minimax/minimax-minimax-m1/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/minimax/minimax-minimax-m1/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:53:31.033745Z --- MiniMax: MiniMax M1 --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/minimax/minimax-minimax-m1.md) minimax-minimax-m1 minimax Closed Source Model $1.300000 / call MiniMax: MiniMax M1 --- 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 ### MiniMax: MiniMax M1 minimax minimax-minimax-m1 Copy model ID PricingInput $0.40 / 1M tokens Output $2.20 / 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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[ZG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.7)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Z.ai: GLM 4.7 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/z-ai-glm-4.7) About MiniMax: MiniMax M1 --- MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it... ### Technical Specifications Model IDminimax-minimax-m1CategoryLLM ModelsTaskText GenerationPrice$1.300000 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 MiniMax: MiniMax M1 into your application with a single API call. 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": "minimax-minimax-m1", "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/minimax/minimax-minimax-m1/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing MiniMax: MiniMax M1 API costs $1.300000 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 [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Minimax](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) MiniMax: MiniMax M1 FAQ --- ### What is MiniMax: MiniMax M1? MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it... ### How do I use the MiniMax: MiniMax M1 API? You can integrate MiniMax: MiniMax M1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "minimax-minimax-m1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does MiniMax: MiniMax M1 cost? MiniMax: MiniMax M1 costs $1.300000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the MiniMax: MiniMax M1 model ID? The model ID for MiniMax: MiniMax M1 is "minimax-minimax-m1". Use this ID in your API requests to specify this model. ### Does MiniMax: MiniMax M1 have a free tier? Yes, ModelsLab offers a free tier that lets you try MiniMax: MiniMax M1 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*