Thinking Machines Unveils Inkling Model with Multimodal Reasoning.
Summary
Thinking Machines has launched a new model, Inkling, featuring full weights availability, native reasoning across text, image, and audio, and a 1M-token context window. Built with a Mixture-of-Experts architecture, Inkling supports fine-tuning on Tinker and offers strong agentic coding and tool use capabilities.
Why it matters
This new open-weight, multimodal model provides developers with a powerful and flexible foundation for building advanced AI applications, potentially reducing development costs and accelerating innovation in agentic systems and diverse data processing.
How to implement this in your domain
- 1Access the full weights to integrate Inkling into custom AI development projects.
- 2Utilize Inkling's multimodal reasoning for applications requiring understanding of text, images, and audio.
- 3Experiment with the Mixture-of-Experts architecture to optimize performance for specific tasks.
- 4Leverage Inkling's agentic coding and tool-use features to automate complex workflows.
Who benefits
Key takeaways
- Inkling is a new open-weight, multimodal AI model from Thinking Machines.
- It features a Mixture-of-Experts architecture and a 1M-token context window.
- The model supports native reasoning across text, image, and audio data.
- Inkling offers strong agentic coding and tool-use capabilities for developers.
Original post by @LiorOnAI
"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 - Fi…"
View on XOriginally posted by @LiorOnAI on X · view source
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