# Thinking Machines Lab 发布 Inkling-Small：276B 总参数、12B 激活的 MoE 开源模型

- 来源：Chubby♨️ (@kimmonismus)
- 发布时间：2026-07-31 04:08
- AIHOT 分数：51
- AIHOT 链接：https://aihot.virxact.com/items/cms7ytq8o02isro20tqpvyo09
- 原文链接：https://x.com/kimmonismus/status/2082921171897504235

## AI 摘要

Thinking Machines Lab 发布 Inkling-Small，一个 276B 总参数、每 token 仅激活 12B 参数的 MoE 开源模型。它在 Terminal-Bench 2.1、HLE 和 SWE-Bench Verified 上均超越 41B 激活参数的 Inkling，并支持原生音频、视觉和 1M token 上下文窗口。

## 正文

Oh and dont sleep on this： Mira Muratis Thinking Machines Lab just released Inkling-Small： a 276B MoE open weight model that activates only 12B parameters per token.

It beats the 41B-active Inkling on Terminal-Bench 2.1 （64.7 vs. 63.8）， HLE （31.6 vs. 29.7）， and SWE-Bench Verified （80.2 vs. 77.6）.

The company says it matches or beats the much larger Inkling on reasoning and agentic coding， while offering native audio and vision， a 1M-token context window， and variable thinking effort.

On-policy distillation plus two weeks of coding RL made the smaller model outperform its teacher on several benchmarks.

Inkling-Small could become a remarkably efficient open foundation for multimodal agents.

### 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...