Author: Julian Goldie SEO - Bewertung: 4x - Views:60
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Inkling Model Review: Open-Weights MoE with 1M Context (vs GLM 5.2)
The video tests Inkling, a newly released open-weights Mixture of Experts model from Thinking Machines (975B total parameters, 41B active) with a 1M-token context window, pretrained on 45T tokens, available on Hugging Face, usable in OpenCode, and fine-tunable on Tinker via an API key and the Inkling playground. The host demonstrates outputs built in an “Ink Machine” workflow, showing strong visual one-shot webpage and design examples (some impressive, some poor), but highlights major weaknesses in 3D/physics-style game builds where projects break or feel uninteresting. On Goldy Bench (about 50 tasks), Inkling ranks 14th out of ~30 models with an average score of 6/10, outperforming some open models but not matching GLM 5.2, which performs much better in head-to-head game demos. The episode concludes by encouraging viewers to test models themselves and promotes the creator’s Agent OS and AI Profit Ballroom community.
00:00 Meet Inkling
00:19 Specs and Availability
01:20 Testing in OpenCode
01:56 Design Demos Showcase
02:38 Goldy Bench Results
03:46 Where It Falls Short
04:07 3D Game Failures
04:47 Landing Page Output
05:46 Inkling vs GLM 5.2
06:55 How to Use the API
07:26 Takeaways and Benchmarks
08:25 Agent OS and Community
09:24 Final Thanks
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