I

Inkling

Open-weights multimodal foundation model built for full customization and fine-tuning

975B Parameters (41B Active)45T Tokens PretrainedMultimodal (Text, Image, Audio, Video)1M Context WindowFine-Tuning on Tinker
Category
Foundation Model / Open-Source AI
Business model
Open-weights model with paid fine-tuning/compute platform (Tinker); possible future enterprise SaaS for managed fine-tuning and hosting
Stage
Early โ€” first model family announcement; no public customer evidence yet
Target audience
AI developers, ML engineers, and enterprises needing to build and own customized foundation models for domain-specific tasks
Opportunity score
45/100

Massive market but near-impossible entry barriers for a solo founder; the real opportunity lies in tooling or services built on top of such models.

Founder verdict
MAYBE

Inkling itself is not a clone target, but its existence validates a massive opportunity in tooling for AI customization.

What is Inkling?

Inkling is an open-weights, Mixture-of-Experts transformer model from Thinking Machines Lab with 975B total parameters (41B active), pretrained on 45 trillion multimodal tokens. It is designed not as the strongest raw performer but as a balanced, highly customizable foundation model with controllable thinking effort, large context window, and native integration with the Tinker fine-tuning platform. The release emphasizes open access, safety, and the ability for developers to own and adapt the model, demonstrated by a self-fine-tuning loop where Inkling rewrote itself. This positions Inkling as a flexible base for enterprises and researchers who need bespoke AI without vendor lock-in, though it currently trails leading closed models on absolute benchmarks.

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