Inkling vs MiMo-V2.6-Pro

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Open-Weight Models · verified 29 Sept 2026

TInklingThinking Machines Labcurrent

XMiMo-V2.6-ProXiaomicurrent

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Specification	Inkling	MiMo-V2.6-Pro
Summary	975B under Apache 2.0, shipped as a starting point rather than a finished product.	A trillion parameters under the MIT licence.
Context	1M	1M
Input ($/Mtok)	Weights only	Weights only
Output ($/Mtok)	Weights only	Weights only
Licence	Apache 2.0	MIT
Max output	Not published	Not published
Parameters	975B total, 41B active	1.02T total, 42B active
Released	15 Jul 2026	21 Sep 2026
Model ID	Not published	XiaomiMiMo/MiMo-V2.6-Pro
Category	Open-Weight Models	Open-Weight Models
Official	Thinking Machines Lab ↗	Xiaomi ↗

Highlighted rows are where these differ.

Pretrained on 45 trillion tokens of text, images, audio and video, with an encoder free architecture
Apache 2.0, weights on Hugging Face, same day fine tuning through the lab's Tinker platform
The lab earns from the compute customers use to adapt it, not from per token access

Best for fine tuning on your own data.

1.02T total parameters, 42B active per token, a 4.1% activation ratio
Text, image, video and audio in, with a 1M token context
Shipped with 7,000+ reinforcement learning environments and the framework that trained it

Best for multimodal work on your own cluster.