Thinking Machines launches Inkling, its first open-weight multimodal model

Thinking Machines has released Inkling, its first open-weight model and the first entry in a broader model family. The launch drew attention because multiple posts described it as a 975B-total, 41B-active multimodal MoE with a 1M context window, and because the company paired the announcement with Tinker fine-tuning, a Playground, and immediate ecosystem availability.

Key details

The official account said Inkling can perform efficient reasoning across text, images, and audio, and that full weights will be opened. Multiple posts relaying the model card described it as roughly a 1T-parameter model under an Apache-2 license, with support for a 1M-token context window; they also said it was trained from scratch on 48T tokens spanning text, images, and audio. The company later added that Inkling is only the start of a series: a lighter Inkling-Small with a similar training recipe has already been previewed, and more complete weights will continue to be released.

Launch and ecosystem

Beyond Tinker and the Playground, a Databricks announcement relayed by @Yuchenj_UW said Inkling was available on Databricks as a Day 0 launch partner. The company also highlighted that thinkingmachines/Inkling appeared on Hugging Face trending, where it was labeled as an image-text-to-text pipeline and also showed audio-text-to-text support.

Reactions

On positioning, @natolambert said the model card and benchmark information suggest Inkling is clearly stronger than Nemotron Ultra. @deedydas described it as the strongest open-weight model outside China. @bindureddy was more cautious, saying the main significance is that the U.S. open-weight camp finally has a model serious enough to benchmark closely.

2026-07-16 ~ 2026-07-17 · 169 related posts

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