Updated November 7, 2026
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Thinking Machines launches Inkling 2 Small

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Subjects: ai-models · agents · developers

At a glance

  • Inkling 2 Small was introduced November 5 and is available now through the Tinker platform.
  • The model handles text and image input; its published model card lists 594 billion total parameters, 17 billion active.
  • Downloadable Apache-licensed weights are a future intention, not yet a completed open-weight release.

What changed

Thinking Machines Lab announced Inkling 2 Small on November 5, 2026. The company says developers can test the model in Tinker Playground or use its Tinker platform for sampling and fine-tuning now. The weights remain closed; the company intends to publish them under Apache 2.0 next week after external safety testing, but has not announced that release as complete.

Full read

Thinking Machines Lab launched Inkling 2 Small on November 5, giving developers a new model for coding, visual interpretation and longer-running AI tasks. It is available now through the company's Tinker Playground and developer platform. The full model weights are not yet downloadable.

That distinction matters for organizations exploring custom AI assistants. A model available through a provider's platform can be tested and fine-tuned, but it is not the same as one a developer can download, modify and run independently. Thinking Machines says it plans to release the weights under an Apache 2.0 license the following week, contingent on finishing external safety testing and red-teaming. That is a plan, not an accomplished release.

The company's model card describes a model that takes text and images as input and produces text, with 594 billion total parameters but 17 billion active during processing and a context window of up to one million tokens. Thinking Machines reports improvements in coding and agent tasks over its previous model. Those benchmark and performance claims come from the company; they are not independent proof of real-world performance.

There are limits. The company warns of hallucinations, imperfect instruction-following and long-conversation errors, and advises human oversight in high-stakes uses. The model card does not establish how reliably or affordably it would work in a real small business.

Our read: The consequential change is another model that developers can put through real application tests today, with a possible future path to downloadable weights. Whether that path opens, and whether the model performs well enough for dependable customer-facing agents, remains to be demonstrated. A new capability is not evidence of higher business revenue or fewer jobs.

Sources

Not confirmed by us

  • Availability, future licensing and comparative capability are first-party claims; downloadable weights have not yet been released in the materials reviewed.
  • AICV News has not independently tested model performance, safety, pricing, business applications or workforce effects.
  • No documented Coachella Valley use or employment impact was identified.

How this was made: researched and written at the desk with AI; every figure checked against its source by Firecrawl Agent Spark 2; initial job 01a1b732-651a-7409-8400-a68375026767; PASS follow-up 01a1b735-91f5-735c-bbde-951e51517dff, with a planted-error test the check caught; published by Sat Singh on November 7, 2026.