Model Library/Macaron V1 Tall
Macaron V1 Tall

Macaron V1 Tall

mindai/macaron-v1-tall
by Mind Lab
Input price
$0.2475/ M tokens
Output price
$1.43/ M tokens
Context window
256Ktokens
Max output
32Ktokens

Macaron-V1-Tall is the efficient model of the Macaron-V1 family, built on Qwen3.6-35B-A3B with four specialist LoRA adapters for Chat, Agent, Coding, and GenUI. It follows the same routed Mixture of LoRA (MoL) design as Macaron-V1-Venti, bringing Macaron’s personal-intelligence, coding, tool-use, and code-native Generative UI capabilities to a smaller and more accessible deployment profile.

Features

Serverless API

Docs

mindai/macaron-v1-tall is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Available Serverless

Run queries immediately, pay only for usage

Input$0.2475 / M Tokens
Cache Read$0.044 / M Tokens
Output$1.43 / M Tokens
  1. Get your API key

    Sign up and create a key to run the code below. The API is OpenAI-compatible.

  2. Make your first request

    The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

    Base URL
    https://api.novita.ai/openaihttps://api.novita.ai/anthropic
    Model ID
    mindai/macaron-v1-tall
    API Endpoint
    chat/completions
    1from openai import OpenAI
    2
    3client = OpenAI(
    4    api_key="<Your API Key>",
    5    base_url="https://api.novita.ai/openai"
    6)
    7
    8response = client.chat.completions.create(
    9    model="mindai/macaron-v1-tall",
    10    messages=[
    11        {"role": "system", "content": "You are a helpful assistant."},
    12        {"role": "user", "content": "Hello, how are you?"}
    13    ],
    14    max_tokens=32768,
    15    temperature=0.7
    16)
    17
    18print(response.choices[0].message.content)