--- 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/together_ai/MiniMaxAI-MiniMax-M2.7.md canonical: https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7.md type: product component: Playground/LLM/Index generated_at: 2026-04-14T23:58:36.123233Z --- MiniMax M2.7 FP4 --- [LLMs.txt](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M2.7/llms.txt) [.md](https://modelslab.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.7.md) MiniMaxAI-MiniMax-M2.7 MiniMaxAI Closed Source Model $0.750000 / call 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) [N3](https://modelslab.com/models/together_ai/nim-meta-llama-3.3-70b-instruct)[Together AI](https://modelslab.com/models/together_ai) [nim/meta/llama-3.3-70b-instruct Closed Source Model](https://modelslab.com/models/together_ai/nim-meta-llama-3.3-70b-instruct) [GG](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 4 26B A4B Closed Source Model](https://modelslab.com/models/open_router/google-gemma-4-26b-a4b-it) [MM](https://modelslab.com/models/open_router/mistralai-mistral-7b-instruct-v0.1)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral 7B Instruct v0.1 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-7b-instruct-v0.1) [CC](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)[Open Router](https://modelslab.com/models/open_router) [Cohere: Command R7B (12-2024) Closed Source Model](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024) [GG](https://modelslab.com/models/open_router/google-gemma-3-12b-it-free)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 3 12B (free) Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-12b-it-free) [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) [OG](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-3.5 Turbo Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo) [Q3](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-397B-A17B-FP8)[Together AI](https://modelslab.com/models/together_ai) [Qwen3.5 397B A17b Fp8 Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-397B-A17B-FP8) [OG](https://modelslab.com/models/open_router/openai-gpt-5-image-mini)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Image Mini Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5-image-mini) [TD](https://modelslab.com/models/open_router/alibaba-tongyi-deepresearch-30b-a3b)[Open Router](https://modelslab.com/models/open_router) [Tongyi DeepResearch 30B A3B Closed Source Model](https://modelslab.com/models/open_router/alibaba-tongyi-deepresearch-30b-a3b) [Q4](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 4B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-4B-Base) [QN](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 Next 80B A3b Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct) [ML](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-3B)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.2 3B Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.2-3B) [ML](https://modelslab.com/models/open_router/mistralai-mistral-large-2411)[Open Router](https://modelslab.com/models/open_router) [Mistral Large 2411 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-large-2411) [QQ](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-27b)[Alibaba](https://modelslab.com/models/alibaba_cloud) [Qwen: Qwen3.5-27B Closed Source Model](https://modelslab.com/models/alibaba_cloud/qwen-qwen3.5-27b) [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) [N8](https://modelslab.com/models/together_ai/nim-mistralai-mixtral-8x7b-instruct-v01)[Together AI](https://modelslab.com/models/together_ai) [nim/mistralai/mixtral-8x7b-instruct-v01 Closed Source Model](https://modelslab.com/models/together_ai/nim-mistralai-mixtral-8x7b-instruct-v01) [XG](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1)[Open Router](https://modelslab.com/models/open_router) [xAI: Grok Code Fast 1 Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1) 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-M2.7CategoryLLM ModelsTaskText GenerationPrice$0.750000 per million tokensAddedApril 12, 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}") ``` View the [full API documentation](https://modelslab.com/models/MiniMaxAI/MiniMaxAI-MiniMax-M2.7/api) for SDKs, code examples in Python, JavaScript, and more. ### 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 - 2026-04-15*