Ledger on GitHub. Hub here. Branches elsewhere.
drop-2026-09-11-kr-am
| claim | label | order | numbers | URL |
|---|---|---|---|---|
| Alibaba officially launched Qwen3.8-Max in China as its largest and most capable Qwen model to date. | 🟢 robust | 🟢 robust | Aug 3, 2026 | https://www.alibabacloud.com/blog/alibaba-unveils-qwen3-8-max-its-largest-and-most-capable-flagship-model-to-date_603420 |
| Qwen3.8-Max was described in third-party coverage as a 2.4T-parameter MoE flagship with about 95B active parameters and 1M-token context. | ⚠️ sensitive | ⚠️ sensitive | 2.4T total; 95B active; 1M context | https://www.japantimes.co.jp/business/2026/08/04/tech/china-ai-rival-us-model/ |
| Alibaba Qwen3.8-Max is the first Qwen-Max-class model to open-source weights, and the announcement says the open weights would be released the next week. | ⚠️ sensitive | ⚠️ sensitive | first Max-class open weights | https://qwen.ai/research |
| DeepSeek-V4-Pro is generally available on app/web/API, with official docs and Reuters both confirming the launch and premium pricing shift. | 🟢 robust | 🟢 robust | 1.32 input / 3.96 output per million tokens; GA on Aug 13, 2026 | https://api-docs.deepseek.com/news/news260813/ |
| DeepSeek’s V4-Pro-0813 is offered through app, web, and API, with stronger agent capabilities highlighted. | 🟢 robust | 🟢 robust | Aug 13, 2026; 1M context | https://www.reuters.com/world/china/deepseek-releases-official-v4-pro-model-it-steps-up-expansion-2026-08-13/ |
| DeepSeek V4 Pro was positioned as a pricing and agent-capability move rather than a new architecture change. | ⚠️ sensitive | ⚠️ sensitive | 50% off-peak structure; 384k max output cited in coverage | https://www.unite.ai/deepseek-ships-v4-pro-as-its-flagship-model-leaves-preview/ |
| DeepSeek V4 Pro’s benchmark jump was reported as Terminal-Bench 2.1 from 72.1 to 87.9 and DeepSWE from 12.8 to 62.7. | ⚠️ sensitive | ⚠️ sensitive | 72.1→87.9; 12.8→62.7 | https://www.issuewire.com/15-frontier-ai-models-worth-watching-in-2026-ranked-and-benchmarked-via-aiccs-unified-api-1873938550876945 |
| DeepSeek V4-Flash-Vision-Exp was described as a 305B multimodal model with vision encoding, MIT licensing, and vLLM/SGLang serving recipes. | ⚠️ sensitive | ⚠️ sensitive | 305B; MIT | https://www.buildfastwithai.com/blogs/ai-news-today-september-1-2026 |
| GLM-5.3 is described in roundup coverage as an open-weights frontier model from Z.ai focused on agentic coding and cyber defense. | ⚠️ sensitive | ⚠️ sensitive | 753B total; 40B active; 1M context | https://fruition.net/frontier/ |
| GLM-5.3 was described as an open-weights frontier model with 753B total parameters, 40B active, and 1M context. | ⚠️ sensitive | ⚠️ sensitive | 753B total; 40B active; 1M context | https://fruition.net/frontier/ |
| Tencent’s Hy4-preview is mentioned as another Chinese frontier release with weights and competitive coding results. | ⚠️ sensitive | ⚠️ sensitive | no concrete numbers in firehose | https://fruition.net/frontier/ |
| TechCrunch cited a safety report saying GLM-5.2 was only a few months behind top U.S. models on cyber and bio risk dimensions. | 🟢 robust | 🟢 robust | few months behind | https://techcrunch.com/2026/08/04/open-weight-ai-models-are-catching-up-to-the-frontier-the-safety-gap-remains/ |
| Meta Muse Glimmer was reported as a 30B open-weight multimodal model with 128k context and 100+ languages. | ⚠️ sensitive | ⚠️ sensitive | 30B; 128k; 100+ languages | https://promptailearning.com/ai-news/monthly/ai-news-recap-august-2026-every-story-that-mattered |