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Inkling

Open weights 975B multimodal model built for fine-tuning

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Inkling is Thinking Machines’ first open-weights model, a 975B MoE with 41B active parameters, 1M context, native reasoning across text, images, and audio, and controllable thinking effort. Fine-tune it on Tinker or download the Apache 2.0 weights.

PH · launched Jul 20, 2026 · 181 upvotes (top 76%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Artificial Intelligence
  • Development

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Could you build this?

No Training a 975-billion parameter multimodal Mixture-of-Experts (MoE) model requires immense supercomputing clusters, hundreds of millions of dollars, and cutting-edge machine learning research expertise.

What it would actually take: Training a 975B MoE requires massive multi-node GPU/TPU clusters (e.g., Megatron-LM, DeepSpeed), multi-trillion token multimodal datasets, custom MoE routing architectures, and distributed training engineering (pipeline, tensor, and expert parallelism). The sheer capital, infrastructure, and algorithmic specialization put this far outside the reach of vibe coding.

Competitors

Other products that read as similar to this one : 40 launches clear the similarity bar, closest 8 shown.

Attention rank: #36 of 41 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 180 days after the earliest competitor.

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