Inkling: Why Thinky's Open Model May Change "Everything"

In this video, I break down Inkling, Thinking Machines’ first open-weight model release under Apache 2.0, trained from scratch as a multimodal decoder-only MoE. I cover the core architecture (near‑trillion parameters, 1M context window, 45T multimodal tokens, 256 experts with 41B active params), how it compares on benchmarks (not SOTA overall but a strong generalist with notable design performance), and why it matters as a major Western open model release. I also walk through the Tinker platform for fine-tuning/post-training, mention the upcoming Inkling Small (276B/12B active), show playground settings like reasoning effort, context limits, and web search/tool calling, demonstrate website generation and a coding example (ISS tracker), and review pricing and options to run weights yourself. LINK: https://thinkingmachines.ai/news/introducing-inkling/ My voice to text App: whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Inkling: Thinking Machines’ First Open-Weight Multimodal MoE Model (Architecture, Playground Demos & Pricing) 00:00 Inkling 00:26 Why This Matters 01:05 Architecture and Scale 01:55 Inkling Small 02:57 Multimodal Strengths 04:06 Reasoning Effort Controls 04:36 Playground Tour and Prompt 06:50 Tool Use and Speed 08:13 Website Design Patterns 09:21 Coding Demo ISS Tracker