Inkling: Thinking Machines Lab's Open-Weights MoE Model — Benchmarks, Architecture, and What It Actually Competes On
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Inkling: Thinking Machines Lab's Open-Weights MoE Model — Benchmarks, Architecture, and What It Actually Competes On Thinking Machines Lab (the AI company founded by former OpenAI CTO Mira Murati) dropped their first Inkling open-weights model yesterday. Inkling is a 975-billion parameter Mixture-of-Experts transformer with 41 billion active parameters per token, native multimodal support (text, images, audio, video), up to 1M tokens of context, and controllable reasoning effort. The weights…
1Key Takeaways
- Inkling: Thinking Machines Lab's Open-Weights MoE Model — Benchmarks, Architecture, and What It Actually Competes On Thinking Machines Lab (the AI company founded by former OpenAI CTO Mira Murati) dropped their first Inkling open-weights model yesterday.
- Inkling is a 975-billion parameter Mixture-of-Experts transformer with 41 billion active parameters per token, native multimodal support (text, images, audio, video), up to 1M tokens of context, and controllable reasoning effort.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that inkling: Thinking Machines Lab's Open-Weights MoE Model — Benchmarks, Architecture, and What It Actually Competes On Thinking Machines Lab (the AI company founded by former OpenAI CTO Mira Murati) dropped their first Inkling open-weights model yesterday.
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