--- title: MiniMax M2.7 FP4 API | Text Generation | ModelsLab description: Build with MiniMax M2.7 FP4 API by Minimaxai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/minimaxai/minimaxai-minimax-m2.7.md canonical: https://modelslab.com/models/minimaxai/minimaxai-minimax-m2.7 type: product component: Playground/LLM/Index generated_at: 2026-07-20T01:07:20.500741Z --- MiniMax M2.7 FP4 --- [LLMs.txt](https://modelslab.com/models/minimaxai/MiniMaxAI-MiniMax-M2.7/llms.txt) [.md](https://modelslab.com/models/minimaxai/MiniMaxAI-MiniMax-M2.7.md) MiniMax M2.7 FP4 --- 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 M2.7 FP4 minimaxai MiniMaxAI-MiniMax-M2.7 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) [#### meta/Meta: Llama 3.3 70B Instruct meta-llama-llama-3.3-70b-instruct From $0.21/M tokens](https://modelslab.com/models/meta/meta-llama-llama-3.3-70b-instruct) [#### google/Google: Gemini 3.1 Flash Lite google-gemini-3.1-flash-lite From $0.88/M tokens](https://modelslab.com/models/google/google-gemini-3.1-flash-lite) [#### qwen/Qwen: Qwen3 Max Thinking qwen-qwen3-max-thinking From $2.34/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-max-thinking) [#### amazon/Amazon: Nova Lite 1.0 amazon-nova-lite-v1 From $0.15/M tokens](https://modelslab.com/models/amazon/amazon-nova-lite-v1) [#### meta/Meta Llama 3.1 8B Instruct Turbo meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo From $0.18/M tokens](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo) [#### google/Google: Gemma 3 27B google-gemma-3-27b-it From $0.20/M tokens](https://modelslab.com/models/google/google-gemma-3-27b-it) [#### openai/OpenAI: GPT-5.4 openai-gpt-5.4 From $8.75/M tokens](https://modelslab.com/models/openai/openai-gpt-5.4) [#### moonshotai/MoonshotAI: Kimi K2.5 moonshotai-kimi-k2.5 From $1.71/M tokens](https://modelslab.com/models/moonshotai/moonshotai-kimi-k2.5) [#### google/Google: Gemini 3.1 Pro Preview Custom Tools google-gemini-3.1-pro-preview-customtools From $7.00/M tokens](https://modelslab.com/models/google/google-gemini-3.1-pro-preview-customtools) [#### sao10k/Sao10K: Llama 3 8B Lunaris sao10k-l3-lunaris-8b From $0.04/M tokens](https://modelslab.com/models/sao10k/sao10k-l3-lunaris-8b) [#### tencent/Tencent: Hy3 (free) tencent-hy3-free Free](https://modelslab.com/models/tencent/tencent-hy3-free) [#### google/Gemini 2.5 Flash Image Preview gemini-2.5-flash-image-preview From $1.40/M tokens](https://modelslab.com/models/google/gemini-2.5-flash-image-preview) [#### mistralai/Mistral (7B) Instruct v0.3 mistralai-Mistral-7B-Instruct-v0.3 From $0.20/M tokens](https://modelslab.com/models/mistralai/mistralai-Mistral-7B-Instruct-v0.3) [#### arcee-ai/Arcee AI: Trinity Large Thinking arcee-ai-trinity-large-thinking From $0.53/M tokens](https://modelslab.com/models/arcee-ai/arcee-ai-trinity-large-thinking) [#### deepseek/DeepSeek: DeepSeek V3.1 Terminus deepseek-deepseek-v3.1-terminus From $0.64/M tokens](https://modelslab.com/models/deepseek/deepseek-deepseek-v3.1-terminus) [#### qwen/Qwen: Qwen3 Coder 480B A35B qwen-qwen3-coder From $0.65/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-coder) [#### z-ai/Z.ai: GLM 5.2 z-ai-glm-5.2 From $0.57/M tokens](https://modelslab.com/models/z-ai/z-ai-glm-5.2) [#### qwen/Qwen: Qwen3 Max qwen-qwen3-max From $2.34/M tokens](https://modelslab.com/models/qwen/qwen-qwen3-max) 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 Popular](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 M2.7 FP4 --- MiniMax M2.7 FP4 is a text generation AI model by Minimaxai available on ModelsLab. Access MiniMax M2.7 FP4 through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDMiniMaxAI-MiniMax-M2.7 CategoryLLM Models TaskText Generation Price$0.75 per million tokens AddedMay 21, 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 M2.7 FP4 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": "MiniMaxAI-MiniMax-M2.7", "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 M2.7 FP4 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 Minimaxai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) MiniMax M2.7 FP4 FAQ --- ### What is MiniMax M2.7 FP4? MiniMax M2.7 FP4 is a text generation AI model by Minimaxai available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the MiniMax M2.7 FP4 API? You can integrate MiniMax M2.7 FP4 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "MiniMaxAI-MiniMax-M2.7" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does MiniMax M2.7 FP4 cost? MiniMax M2.7 FP4 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 M2.7 FP4 model ID? The model ID for MiniMax M2.7 FP4 is "MiniMaxAI-MiniMax-M2.7". Use this ID in your API requests to specify this model. ### Does MiniMax M2.7 FP4 have a free tier? Yes, ModelsLab offers a free tier that lets you try MiniMax M2.7 FP4 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 - 2026-07-20*