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.
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Mind Lab Models
Browse models from Mind Lab
Models · 2
Mind Lab: Macaron V1 Tall
mindai/macaron-v1-tall
9.26Mtokens
66.59%Cache Hit Rate
Input Type
Output Type
Input$0.45/M tokens
Output$2.6/M tokens
Context-
Max Output-
Available on 1 provider
Mind Lab: Macaron V1 Venti
mindai/macaron-v1-venti
76.03Mtokens
85.11%Cache Hit Rate
Macaron-V1-Venti is a 748B-parameter flagship model in the Macaron-V1 family, built for personal intelligence, tool use, coding workflows, and code-native Generative UI. The model uses a Mixture of LoRA (MoL) architecture on top of GLM-5.2, consisting of a 744B-parameter base model and four 1B-parameter LoRA specialists. The specialists cover chat, personal-agent tasks, coding, and GenUI, with an L0 router selecting the most suitable specialist for each new user request.
Input Type
Output Type
Input$1.5/M tokens
Output$4.5/M tokens
Context-
Max Output-
Available on 1 provider