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Inkling vs Muse Spark Open

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Open-Weight Models · verified 20 Oct 2026

TInklingThinking Machines Labcurrent
Muse Spark OpenMetacurrent
3 slots left
SpecificationInklingMuse Spark Open
Summary975B under Apache 2.0, shipped as a starting point rather than a finished product.The largest American open weights, under a licence with a revenue trigger.
Context1M1M
Input ($/Mtok)Weights onlyWeights only
Output ($/Mtok)Weights onlyWeights only
LicenceApache 2.0Muse Model License
Max outputNot publishedNot published
Parameters975B total, 41B active816B total, 42B active
Released15 Jul 202615 Oct 2026
Model IDNot publishedmeta-models/Muse-Spark-Open-816B-A42B
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialThinking Machines Lab ↗Meta ↗

Highlighted rows are where these differ.

Inkling

  • 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.

Full spec sheet →

Muse Spark Open

  • Text, image, video and audio in, text out, with a 1M token context
  • Muse Model License, not open source: attribution required, and a separate agreement above $20m of model-service revenue
  • About 1.5TB in BF16, or two Mac Studios at 4-bit

Best for multimodal work you host yourself.

Full spec sheet →