Thinking Machines 发布开源权重模型 Inkling-Small

Thinking Machines released open-weight model Inkling-Small, cuts Inkling’s active parameter count from 41B to 12B per token.

Pushed ahead of the larger Inkling on HLE, 31.6% versus 29.7%, and to 80.2% on SWEBench Verified, while activating less than one-third as many parameters.

The model also received a revised pretraining mix, distillation from Inkling, and two additional weeks of agentic coding RL.

They said that they crafted Inkling-Small for audio intelligence, making it a good candidate for real-world audio applications.