# Thinking Machines 发布开源模型 Inkling-Small

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-31 09:52
- AIHOT 分数：57
- AIHOT 链接：https://aihot.virxact.com/items/cms8and3v05sarot0jmlpdb81
- 原文链接：https://x.com/rohanpaul_ai/status/2083007952529809533

## AI 摘要

Thinking Machines 发布开源权重模型 Inkling-Small，总参数量 276B、每 token 激活 12B，仅为 Inkling 激活参数（41B）的三分之一。该模型在 HLE 上以 31.6% 超过更大的 Inkling（29.7%），SWE-bench Verified 达 80.2%，并针对音频智能优化了预训练混合、知识蒸馏及两周智能体编码 RL。

## 正文

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.

### 引用推文

> Thinking Machines：Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B...