Vibeleaderboard
← All Intel
Intel / post

Thinking Machines puts open-weight Inkling models in coding harnesses for free

Source
x.com
Date
OpenRouter@OpenRouter
Thread · 4 parts

Inkling and Inkling Small are now served directly by @thinkymachines on OpenRouter, free to use inside agentic harnesses only. Plug them into Claude Code, Codex, Hermes Agent and more to unlock the free access. Open-weight MoE reasoning models with native text, image, and audio input and a 1M context window. More on both below 🧵 https://t.co/wF46xTiiEW

@thinkymachines Inkling: 975B total parameters, 41B active. Configurable reasoning effort from minimal to max, with native image and audio understanding alongside text. https://t.co/i6jDkhV8nH

@thinkymachines Inkling Small: 276B total, 12B active. The efficient half of the family, with the same reasoning controls and the same multimodal input. https://t.co/OsbdUrqCsU

@thinkymachines Note: Thinking Machines Lab logs prompts and outputs and uses them to improve their models, with session data disassociated from your account first. Full terms are on each model page. The open weights are Apache 2.0. API access to these free endpoints runs on separate terms.

Context

Thinking Machines offered Inkling and Inkling Small without charges on OpenRouter, free to use inside agentic harnesses only, according to OpenRouter's August 21 announcement. The post also makes the data exchange explicit: Thinking Machines Lab logs prompts and outputs and uses them to improve its models, after session data is disassociated from the account. The Apache 2.0 license for the is separate from the terms governing these free endpoints, which the post says run on separate terms, so permission to use the weights does not remove the hosted service's data-use conditions.

Terms in this piece · Glossary
  • inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
  • open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
More from OpenRouter
Recommended reads
Comments

Checking sign-in…

Loading comments…