MindLab: Macaron V1 TallWork with me

MindLab: Macaron V1 Tall

byMindLab

Macaron V1 Tall is a reasoning model from MindLab released on Jul 21, 2026. It reads text and writes text, with a 262K token context window and up to 33K tokens per reply.

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It costs $0.2475 per million input tokens and $1.43 per million output tokens. Cached input bills at $0.044, 82% less than fresh input.

It supports tool calling and prompt caching, and its weights are open, so you can host it yourself.

Modalities
In / out price
$0.2475 / $1.43 per 1M
Context
262K
Max output
33K
Released
Jul 21, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Macaron V1 Tall pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.2475 / 1M tokens
Output$1.43 / 1M tokens
Cached input (read)$0.044 / 1M tokens

What Macaron V1 Tall costs per month

Pick a workload close to yours or type your own volumes.

Macaron V1 Tall per month
$24.42
Without caching
$33.58
Per request
$0.0008

Supported request parameters

What you can set when you call Macaron V1 Tall through an OpenAI compatible API.

  • Toolstools
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Macaron V1 Tall

Models that take the same inputs and call tools, closest in price, cheaper ones first.

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    by minimaxDec 22, 2025$0.30/M input tokens$1.20/M output tokens17 providers

More from MindLab

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Macaron V1 Tall questions

How much does the Macaron V1 Tall API cost?

$0.2475 per million input tokens and $1.43 per million output tokens, with cached input at $0.044. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Macaron V1 Tall?

262,144 tokens of input, and it can write up to 32,768 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does Macaron V1 Tall support tool calling?

Yes. It accepts tool definitions, which is what an agent needs to call your APIs.

Is Macaron V1 Tall open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was Macaron V1 Tall released?

Jul 21, 2026.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Macaron V1 Tall?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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