Thinking Machines Lab releases Inkling 2 Small with 594B parameters and 17B active parameters
Thinking Machines Lab introduced Inkling 2 Small, a Mixture-of-Experts model with 594 billion total parameters and 17 billion active parameters, supporting image inputs and variable effort. The model scores 31 on the Artificial Analysis Intelligence Index, surpassing previous models and matching Gemini 3.8 Flash (high). It is initially available via Tinker with closed weights, with plans to…
Key points
- Inkling 2 Small has 594B total parameters and 17B active parameters.
- It scores 31 on the Artificial Analysis Intelligence Index, matching Gemini 3.8 Flash (high).
- Full weights will be released under Apache 2.0 after external safety testing and red-teaming.
While all sources agree on the model's specifications, release timeline, and safety conditions, only Artificial Analysis provides comparative benchmark scores against Gemini 3.8 Flash (high), Claude Sonnet 5.5 (medium), and others, including Elo scores on AA-Briefcase and cost per task. Thinking Machines Lab and unite.ai focus on training details, alignment controls, and the model's agentic capabilities, such as autonomously training Qwen3.5-4B on Tinker.
Model page: Muse Spark 1.3 →
The story so far
2 episodes →- Thinking Machines Lab releases Inkling 2 Small with 594B parameters and 17B active parametersthis story
Inkling 2 Small released
thinkingmachines.ai · 6 November 2026
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Coverage and discussion
5sources- Reddit discussionreddit.com
- Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B ActivePress · MarkTechPost ·
- Artificial Analysis says Inkling 2 Small matches Gemini 3.8 Flash (high) in its index and would be the top open model outside China once its weights are outPress · artificialanalysis.ai ·
- Thinking Machines Lab Launches Inkling 2 Small with Open Weights PendingPress · Unite.AI ·
- [AI News] Huge open-weight models, Claude's personal finance management, GPT-6 Cyber ― 3 stories to catch up on this morning (2026/11/06)Press · note.com ·
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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