@LiorOnAI: New model from Thinking Machines: - Full weights available - Native text, image, and audio reasoning - 975B total param…

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Summary

Thinking Machines releases Inkling, an MoE model with 975B total / 41B active parameters, supporting native text, image, and audio reasoning, up to 1M-token context, and full weights availability.

New model from Thinking Machines: - Full weights available - Native text, image, and audio reasoning - 975B total parameters, 41B active - Mixture-of-Experts architecture - Up to 1M-token context window - Controllable reasoning effort - Lower token use at similar performance - Fine-tuning on Tinker from day one - Strong agentic coding and tool use - Support across major inference platforms - Inkling-Small model coming next - Trained from scratch by Thinking Machines
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New model from Thinking Machines:

  • Full weights available
  • Native text, image, and audio reasoning
  • 975B total parameters, 41B active
  • Mixture-of-Experts architecture
  • Up to 1M-token context window
  • Controllable reasoning effort
  • Lower token use at similar performance
  • Fine-tuning on Tinker from day one
  • Strong agentic coding and tool use
  • Support across major inference platforms
  • Inkling-Small model coming next
  • Trained from scratch by Thinking Machines

Thinking Machines (@thinkymachines): Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

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Inkling is a large open-weights multimodal model (975B total, 41B active parameters) using a sparse MoE architecture, accepting text, image, and audio inputs and generating text outputs, intended for agentic systems, coding assistants, and chatbots.