minimax/MiniMax-M2.7-highspeedOpen WeightsLow-latency M2.7 variant for interactive coding plans and agent loops
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ MiniMax-M2.7-highspeed natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.
MCP Context Window Recommendations
With a context capacity of 204,800 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.
API CALL INVOCATION EXAMPLE
// Example: Calling MiniMax-M2.7-highspeed via OpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.MINIMAX_API_KEY,
});
const response = await client.chat.completions.create({
model: "minimax/MiniMax-M2.7-highspeed",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
This model supports prompt caching at $0.06 / 1M tokens, saving up to 90% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
More Models by MiniMax
Alternative and family models from the same lab
MiniMax multimodal model for long-context coding, perception, and agent planning
MiniMax model for chat, coding, office work, and agentic tasks
Open hybrid-attention MoE reasoning model with a million-token context and an 80K thinking budget