Open-weight landscape
DeepSeek shipped V4 Pro on August 13, 2026. The official release supersedes the preview and adds stronger agentic capability. The model is available via API, web interface, and mob
Ledger on GitHub. Hub here. Branches elsewhere.
Deep cut
August 2026: harness, open weights, and the agent stack
DeepSeek Harness, GLM-5.3, Qwen3.8-Max, and a homelab RTX 3060 datapoint.
GLM-5.3, DeepSeek V4 Pro, Muse Glimmer, and a 3060 baseline
Two open-weight MoE models crossed 700B total parameters this cycle. One agentic benchmark crossed 80% on SWE-bench Verified. One Apache 2.0 open-weight model at 30B reached 76.0 o
Containment, scale, and the new open-weights ledger
AI firms still lack sufficient containment measures; no lab reached full implementation.
Scoreboard
Scoreboard
A latency snapshot for Grok 4.20 reports 538 ms total and 513 ms TTFT. Gemini 2.5 Flash latency is 667 ms total and 506 ms TTFT, with an output cost of $0.0025 per 1K output tokens
Scoreboard
This publication briefing summarizes observations from the field. It covers recent shifts in platform positioning and open-weight model statistics.
August 2026 price and performance
Gemini, Claude, Grok pricing and a one-page scoreboard from public sources.
China sets the open-weight ceiling; Opus 5 still leads the closed scoreboard
2026-08-29 lab note: Kimi K3 / Qwen 2.4T MoE vs US open weights; Gemini, Claude, ChatGPT, Grok.