# Thinking Machines Lab — Introducing Inkling 2 Small

- Company: Thinking Machines Lab (thinkingmachines.ai)
- Announced: 2026-11-05
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://thinkingmachines.ai/news/inkling-2-small
- Record: https://forck.live/items/32413-introducing-inkling-2-small
- Subject: Thinking Machines / Inkling
- Models affected: Inkling 2 Small, Inkling, Fledge-Alpha, Qwen3.5-4B, DeepSeek-V3.2
- License: Apache 2.0

Thinking Machines Lab is introducing Inkling 2 Small, a Mixture-of-Experts model with 594B total parameters and 17B active, its second model generation, which supports image inputs and variable effort. The company says it far surpasses its previous models on the Artificial Analysis Intelligence Index with a score of 31, reflecting gains in agentic coding, vision, knowledge work and reasoning. Inkling 2 Small is initially available through Tinker with closed weights, and the company intends to release the full weights under an Apache 2.0 license next week after external safety testing and red-teaming. It can be tried on Tinker Playground today and is available for fine-tuning and sampling on Tinker, with checkpoints downloadable when the weights ship. The model was trained with RL on hundreds of thousands of long-horizon coding tasks, and early checkpoints were tested on OpenCode under the name Fledge-Alpha. In one autoresearch demonstration, it autonomously trained Qwen3.5-4B on Tinker for 4.5 hours at $426 in Tinker spend, more than doubling the model's forecasting score.

## Evidence

Verbatim from https://thinkingmachines.ai/news/inkling-2-small:

> Today we are introducing our second model generation with Inkling 2 Small. It is a Mixture-of-Experts model with 594B total parameters, 17B active, and supports image inputs and variable effort.
> 
> Inkling 2 Small far surpasses our previous models’ scores on the Artificial Analysis Intelligence Index with a score of 31, reflecting gains in performance on agentic coding, vision, knowledge work, and reasoning. The increase in capabilities comes from improvements made at every step of our training process, including more efficient pre-training and a large, unified RL run.
> 
> Inkling 2 Small will initially be available through Tinker, with closed weights, following the approach we outlined in a safe path to open weights . We intend to make the full weights available under an Apache 2.0 license next week after the completion of external safety testing and red-teaming.
> 
> You can try Inkling 2 Small on Tinker Playground today. The model is also available for fine-tuning and sampling on Tinker; checkpoints will be downloadable with the release of Inkling 2 Small’s weights.
> 
> Capabilities

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