MiniMax M2.7
MiniMax's advanced large language model — multi-modal reasoning, coding, and long-context understanding for complex AI applications.
Advanced Multi-Modal LLM
MiniMax M2.7 combines multi-modal reasoning, strong coding abilities, and long-context understanding for complex AI applications.
Multi-Modal Reasoning
MiniMax M2.7 processes text, images, and documents natively. Combine multiple input types for richer analysis — from chart interpretation to visual Q&A and document understanding.
Strong Coding Capabilities
Opus-4.6-level coding performance with support for multiple programming languages. Generate, debug, refactor, and explain code with high accuracy and contextual understanding.
Long-Context Understanding
Process extended documents, codebases, and conversation histories with deep comprehension. MiniMax M2.7 maintains coherent reasoning across long input sequences.
Endpoints
Examples
Implement a concurrent web scraper in Go with rate limiting, retry logic, and structured data extraction.
Analyze this quarterly earnings report and identify the three most significant trends affecting future guidance.
Compare the architectural approaches of React, Vue, and Svelte for a large-scale enterprise dashboard application.
Write a technical blog post explaining transformer attention mechanisms to a software engineer audience.
Start Building
Integrate MiniMax M2.7 with a single API call. Python, JavaScript, or cURL — ship in minutes.
- Chat completion API — OpenAI-compatible format
- Multi-modal input support
- Python & JavaScript SDKs + REST API
FAQ
MiniMax M2.7 is MiniMax's advanced large language model, featuring multi-modal reasoning, strong coding capabilities, and long-context understanding for complex AI applications.
MiniMax M2.7 combines Opus-4.6-level coding performance with native multi-modal input support and efficient long-context processing at competitive pricing.
MiniMax M2.7 supports multiple natural languages and processes text, images, and documents as input. It handles cross-lingual and multi-modal tasks natively.
Use WaveSpeed's chat completion API with the model ID minimax/minimax-m2.7. The API is OpenAI-compatible for easy migration.
MiniMax M2.7 uses WaveSpeed's pay-per-token pricing. Visit the pricing page for current rates and volume tiers.