Thinking Machines releases Inkling 2 Small, a 594B mixture-of-experts model
Thinking Machines Lab says it is introducing Inkling 2 Small, a Mixture-of-Experts model with 594B total parameters and 17B active, supporting image inputs and variable effort.
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Thinking Machines Lab says it is introducing Inkling 2 Small, a Mixture-of-Experts model with 594B total parameters and 17B active, supporting image inputs and variable effort. The company reports a score of 31 on the Artificial Analysis Intelligence Index, attributing gains to improvements across pre-training and a unified RL run. The model is initially available through Tinker with closed weights, with full weights planned under Apache 2.0 after external safety testing. The page includes coding and autoresearch benchmark tables comparing it with other models.
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Inkling 2 Small is a Mixture-of-Experts model with 594B total parameters and 17B active parameters.
Source: thinkingmachines.ai ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseThe company reports an Artificial Analysis Intelligence Index score of 31, far above its previous models.
Source: thinkingmachines.ai ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseIt is initially available through Tinker with closed weights; full weights are planned under Apache 2.0 after safety testing.
Source: thinkingmachines.ai ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseLimits from the stored brief
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Thinking Machines' Nov 5 post introduces Inkling 2 Small (594B/17B MoE, AA Index 31) on Tinker with Apache 2.0 weights planned next week after safety tests; official X and HN cover the launch.
Source claims not independently checked; benchmark figures are the company's self-reported results, and the full article's remaining sections were only partially available.
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- x post ↗ · 3,582 likes, 377 reposts, 177 replies, 316 quotes · observed 11/6/2026, 11:18:00 AM
- hn post ↗ · 211 points, 69 comments · observed 11/6/2026, 11:18:00 AM
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Why this may matter
The release pairs a large open-weight plan with reported gains in agentic coding and vision, and its weights release depends on pending safety testing and red-teaming.
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