Moonshot's Jul 27 Kimi K3 weight drop converts last week's promissory open-frontier watch item into a procurement fact: a 2.8T MoE with 104B active parameters, 896 experts selecting 16, hybrid 69 KDA + 24 Gated MLA layers, 1,048,576 context, and MoonViT-V2 — under a revenue-tiered Kimi K3 License that triggers a separate commercial deal for MaaS above $20M trailing-twelve-month revenue. Self-host evaluation can now start on artifacts; license diligence is the gate, not model quality.
No closed frontier model shipped. The closed stack competed on price and post-training instead. OpenAI cut GPT-5.6 Luna 80% to $0.20/$1.20 and Terra 20% to $2/$12 on Jul 30 while holding Sol at $5/$30 and replacing Priority Processing with Fast mode at 2x token price for up to ~2.5x speed. DeepSeek put V4-Flash-0731 into public beta on Jul 31 on the same 284B/13B architecture and unchanged $0.14/$0.28 pricing; Artificial Analysis independently scored it +10 Intelligence Index points to 50. Thinking Machines released Inkling-Small the same day as the Luna cut — 276B/12B active, Apache 2.0, independent AA Index 40 versus Inkling's 41 — with a context-window conflict to resolve (vendor card up to 1M; AA article lists 256K).
The week's largest vendor-claimed capability jump did not need new weights either: OpenAI reported ARC-AGI-3 public-set scores moving from 13.3% to 38.3% on GPT-5.6 Sol by retaining reasoning between tool calls and compacting context instead of truncating, with roughly 6x fewer output tokens. That is a harness result, not an official leaderboard reprint — and no qualifying LMArena, SWE-bench, or ARC official board moves landed in-window. Gemini 3.5 Pro missed its Jul 31 GA prediction. MiniMax H3 promised open weights and had not shipped them as of Aug 1. Net/net: route on measured Index and task cost, treat open as license-plus-weights, and re-test agents against memory policy before buying a bigger model.