--- title: MiniMax: MiniMax M3 API | Text Generation | ModelsLab description: Build with MiniMax: MiniMax M3 API by Minimax. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/minimax/minimax-minimax-m3.md canonical: https://modelslab.com/models/minimax/minimax-minimax-m3.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T19:31:59.188602Z --- MiniMax: MiniMax M3 --- [LLMs.txt](https://modelslab.com/models/open_router/minimax-minimax-m3/llms.txt) [.md](https://modelslab.com/models/minimax/minimax-minimax-m3.md) MiniMax: MiniMax M3 --- 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 M3 minimax minimax-minimax-m3 Copy model ID PricingInput $0.30 / 1M tokens Output $1.20 / 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. 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) [#### mistral\_ai/Mistral (7B) Instruct v0.3 mistralai-Mistral-7B-Instruct-v0.3 From $0.20/M tokens](https://modelslab.com/models/mistral_ai/mistralai-Mistral-7B-Instruct-v0.3) [#### open\_router/Mistral: Voxtral Small 24B 2507 mistralai-voxtral-small-24b-2507 From $0.20/M tokens](https://modelslab.com/models/open_router/mistralai-voxtral-small-24b-2507) [#### qwen/Qwen2-VL (72B) Instruct Qwen-Qwen2-VL-72B-Instruct From $1.20/M tokens](https://modelslab.com/models/qwen/Qwen-Qwen2-VL-72B-Instruct) [#### open\_router/TheDrummer: Rocinante 12B thedrummer-rocinante-12b From $0.30/M tokens](https://modelslab.com/models/open_router/thedrummer-rocinante-12b) [#### open\_router/Qwen: Qwen3 14B qwen-qwen3-14b From $0.17/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-14b) [#### open\_router/ByteDance Seed: Seed-2.0-Mini bytedance-seed-seed-2.0-mini From $0.25/M tokens](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-mini) [#### open\_router/Anthropic: Claude Sonnet 4.5 anthropic-claude-sonnet-4.5 From $9.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4.5) [#### open\_router/Tencent: Hy3 preview tencent-hy3-preview From $0.14/M tokens](https://modelslab.com/models/open_router/tencent-hy3-preview) [#### open\_router/Mistral Large 2407 mistralai-mistral-large-2407 From $4.00/M tokens](https://modelslab.com/models/open_router/mistralai-mistral-large-2407) [#### open\_router/Qwen: Qwen2.5 7B Instruct qwen-qwen-2.5-7b-instruct From $0.07/M tokens](https://modelslab.com/models/open_router/qwen-qwen-2.5-7b-instruct) [#### open\_router/Qwen: Qwen3 VL 235B A22B Instruct qwen-qwen3-vl-235b-a22b-instruct From $0.54/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-instruct) [#### open\_router/Relace: Relace Search relace-relace-search From $2.00/M tokens](https://modelslab.com/models/open_router/relace-relace-search) [#### 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) [#### arcee\_ai/Arcee AI Coder-Large arcee-ai-coder-large From $0.65/M tokens](https://modelslab.com/models/arcee_ai/arcee-ai-coder-large) [#### open\_router/LiquidAI: LFM2.5-1.2B-Instruct (free) liquid-lfm-2.5-1.2b-instruct-free Free](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free) [#### open\_router/inclusionAI: Ring-2.6-1T inclusionai-ring-2.6-1t From $0.35/M tokens](https://modelslab.com/models/open_router/inclusionai-ring-2.6-1t) [#### open\_router/MoonshotAI: Kimi K2 0905 moonshotai-kimi-k2-0905 From $1.55/M tokens](https://modelslab.com/models/open_router/moonshotai-kimi-k2-0905) [#### open\_router/Xiaomi: MiMo-V2-Flash xiaomi-mimo-v2-flash From $0.20/M tokens](https://modelslab.com/models/open_router/xiaomi-mimo-v2-flash) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MU](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About MiniMax: MiniMax M3 --- MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,... ### Technical Specifications Model IDminimax-minimax-m3 CategoryLLM Models TaskText Generation Price$0.75 per million tokens AddedJune 1, 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 M3 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": "minimax-minimax-m3", "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 MiniMax: MiniMax M3 API costs $0.750000 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 Minimax](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) MiniMax: MiniMax M3 FAQ --- ### What is MiniMax: MiniMax M3? MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,... ### How do I use the MiniMax: MiniMax M3 API? You can integrate MiniMax: MiniMax M3 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "minimax-minimax-m3" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does MiniMax: MiniMax M3 cost? MiniMax: MiniMax M3 costs $0.750000 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 M3 model ID? The model ID for MiniMax: MiniMax M3 is "minimax-minimax-m3". Use this ID in your API requests to specify this model. ### Does MiniMax: MiniMax M3 have a free tier? Yes, ModelsLab offers a free tier that lets you try MiniMax: MiniMax M3 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 - 2026-06-04*