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#13Thinking Machines Lab

Mira Murati's AI lab; makes the Tinker fine-tuning platform and the open-weights Inkling models.

Top model InklingBased in San Francisco, United Statesthinkingmachines.ai

Models2 releases · newest first

Latest30 Jul 2026Open-weights LLM

Inkling-Small

A smaller sibling of Inkling with 276B total and 12B active parameters that takes text, image and audio input natively. Thinking Machines says it performs comparably to Inkling at a quarter of the size, and reports 80.2% on SWE-bench Verified. It was previewed with Inkling and released two weeks later under Apache 2.0.

  • 276B total / 12B active MoE
  • Up to 1M-token context
  • Text, image and audio input; text output
  • Lab-stated SWE-bench Verified 80.2%, GPQA Diamond 89.5%

AccessOpen weights on Hugging Face (thinkingmachines/Inkling-Small, Apache 2.0); fine-tuning and playground on Tinker.

15 Jul 2026Open-weights LLM

Inkling

Thinking Machines Lab's first model: a 975B-parameter mixture-of-experts with 41B active parameters, trained on 45 trillion tokens of text, images, audio and video, and released as open weights. The lab presents it as a balanced generalist and a base for fine-tuning on Tinker, and says it is not the strongest model available today.

  • 975B total / 41B active MoE
  • Up to 1M-token context (64K/256K on Tinker)
  • Text, image, audio and video input
  • Lab-stated SWE-bench Verified 77.6%, AIME 2026 97.1%
  • NVFP4 checkpoint for NVIDIA Blackwell

AccessOpen weights on Hugging Face (thinkingmachines/inkling); fine-tuning on Tinker; hosted APIs via Together AI, Fireworks, Modal, Databricks and Baseten.

What the industry says · 3 voices since 5 Aug 2026 · rank #13

  • Nathan Lambert, Interconnects (Ai2), 21 Sep 2026: ranked Thinking Machines Lab #3 of 6. source
  • Jensen Huang, NVIDIA, 26 Aug 2026: names Thinking Machines Lab among the leaders. source
  • Dan Schwarz, FutureSearch, 5 Aug 2026: ranked Thinking Machines Lab #3 of 6 (new labs only). source
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