MiniMax M1 80K

MiniMaxMCP Tool CallReasoning
minimax/minimax-m1-80kOpen Weights

Open hybrid-attention MoE reasoning model with a million-token context and an 80K thinking budget

Benchmark Pricing$0.61 / 1M in$2.42 / 1M out$0.30 cache read
Context: 1,000,000 tokens•Max Output: 80,000 tokens•Released: 2025-06-17

TECHNICAL SPECIFICATIONS

Context Window1,000,0001M tokens
Max Output80,00080K tokens
LicenseApache-2.0Self-hostable
Input Modalities
Text
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ MiniMax M1 80K 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 1,000,000 tokens, this model can handle extremely large MCP resource manifests, complete database schemas, and multiple active server tool definitions simultaneously without degradation.

API CALL INVOCATION EXAMPLE

// Example: Calling MiniMax M1 80K 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-m1-80k",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

4 providers
NanoGPTMiniMaxAI/MiniMax-M1-80k
$0.61 / $2.42$0.30 cache
Novita AIminimaxai/minimax-m1-80k
$0.55 / $2.20
Hugging FaceMiniMaxAI/MiniMax-M1-80k
$0.55 / $2.20
Jiekou.AIminimaxai/minimax-m1-80k
$0.55 / $2.20

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.30 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.