The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
Thinking Machines[3]' post "Inkling: Our Open-Weights Model" is dated Jul 15, 2026 and says "Today we are advancing our mission by releasing a model we trained from scratch"; The Next Web[5] ran its report on July 15 and OpenRouter[4] lists it from Jul 17.
Model card: 975B total and 41B active parameters, 66-layer sparse MoE with 6 of 256 routed experts plus 2 shared, Apache 2.0, BF16 and NVFP4 weights, text/image/audio input with text output, and the benchmark table against Gemini 3.1 Pro, Claude Fable 5 and GPT 5.6 Sol.[1]
The lab's follow-up two weeks later: Inkling-Small, 276B total and 12B active, and the output pricing of $4.05 per 1 million tokens for Inkling against $1.20 for Inkling-Small.[1]
Router listing: 41B active of 975B, 524K context, $0.95 per 1 million input tokens and $4.05 per 1 million output tokens, released Jul 17, 2026.[1]
Independent launch-day report: the lab's first model, open-weight and not the strongest, distillation from other open models including Kimi K2.5, built in about nine months, and a Bridgewater fine-tuning result that is the partners' own evaluation.[1]
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