Macaron V1 Tall

MindlabMCP Tool CallReasoning
mindlab/macaron-v1-tallOpen Weights

Qwen3.6-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

Benchmark Pricing$0.25 / 1M in$1.43 / 1M out$0.04 cache read
Context: 262,144 tokens•Max Output: 32,768 tokens•Released: 2026-07-21

TECHNICAL SPECIFICATIONS

Context Window262,144262.1K tokens
Max Output32,76832.8K tokens
LicenseMITSelf-hostable
Input Modalities
TextVision
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ Macaron V1 Tall 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 262,144 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.

API CALL INVOCATION EXAMPLE

// Example: Calling Macaron V1 Tall via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.MINDLAB_API_KEY,
});

const response = await client.chat.completions.create({
  model: "mindlab/macaron-v1-tall",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

1 providers
Novita AImindai/macaron-v1-tall
$0.25 / $1.43$0.04 cache

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

Prompt Caching Active

This model supports prompt caching at $0.04 / 1M tokens, saving up to 82% on repetitive MCP tool definitions and system instructions.